Scholars@Duke
Jing Cai

Jing Cai

Adjunct Associate Professor in the Radiation Oncology
Radiation Oncology
jing.cai@duke.edu
Box 3295 Med Ctr, DUMC, Durham, NC 27710
Radiation Oncology Physics, Durham, NC 27710

Selected Publications

Fully & partially-transmitted-rule fusion: A novel hierarchical fuzzy classification with application to nasopharyngeal cancer’s metastasis prediction

Journal Article Fuzzy Sets and Systems · March 15, 2026 Distant metastasis (DM) as a major cause of treatment failure of nasopharyngeal cancer (NPC) actually occurs with a considerably gradual development in the early stage. Therefore, an ideal DM prediction model should be an efficient and interpretable model ... Full text Cite

Boosting Generalizability in NPC ART Prediction via Multi-omics Feature Mapping

Conference Lecture Notes in Computer Science · January 1, 2026 Adaptive radiotherapy (ART) improves treatment precision by adapting to anatomical changes, but its clinical adoption is limited by high costs, patient burden, and institutional variability. To address this, we propose a robust multi-omics nomogram for pre ... Full text Cite

Revealing New Possibilities for Breast MRI Enhancement: Mamba-Driven Cross-Attention GAN with VMKANet

Conference Lecture Notes in Computer Science · January 1, 2026 Breast cancer poses a serious risk to women’s health, making early detection critical. Dynamic Contrast-Enhanced MRI (DCE-MRI) aids diagnosis by using a contrast agent to highlight tissue details, but its cost and health risks limit accessibility. This stu ... Full text Cite

Score-Based Diffusion Model for Unpaired Virtual Histology Staining

Conference Lecture Notes in Computer Science · January 1, 2026 Hematoxylin and eosin (H&E) staining visualizes histology but lacks specificity for diagnostic markers. Immunohistochemistry (IHC) staining provides protein-targeted staining but is restricted by tissue availability and antibody specificity. Virtual staini ... Full text Cite

Designing a hybrid optimization methodology for delineating boundary of ultrasound prostate cancer with an explainable mathematical model

Journal Article Neurocomputing · January 1, 2026 Accurately segmenting prostate cancer (PCa) is crucial for enhancing male survival rates, yet it poses challenges due to low-intensity contrast around the PCa outline caused by intestinal gas interference, the existence of shadow artifact, the impact of th ... Full text Cite

A generalizable dose prediction model for automatic radiotherapy planning based on physics-informed priors and large-kernel convolutions.

Journal Article Med Phys · January 2026 BACKGROUND: Automatic radiotherapy planning based on deep learning-based dose prediction shows promise in improving planning efficiency, consistency, and quality. However, most existing studies have focused on scenario-specific dose prediction models, ther ... Full text Link to item Cite

cMeta-INR: cohort-informed meta-learning-based implicit neural representation for deformable registration-driven real-time volumetric MRI estimation.

Journal Article Phys Med Biol · December 22, 2025 Objective.Rapid and accurate reconstruction of high-quality three-dimensional magnetic resonance (MR) images from undersampledk-space data with variable sampling patterns remains a challenge due to limited available information and the need to preserve ric ... Full text Link to item Cite

Repeatability and prognostic value of radiomic features: a study in esophageal cancer and nasopharyngeal carcinoma

Journal Article Insights into Imaging · December 1, 2025 Objectives: To investigate whether radiomic features (RFs) repeatability and their prognostic value are study-specific. Materials and methods: This retrospective study included 234 esophageal cancer (EC) patients (contrast-enhanced computed tomography (CEC ... Full text Cite

Diffusion model-empowered patella shape analysis predicts knee osteoarthritis outcomes

Journal Article Osteoarthritis and Cartilage Open · December 1, 2025 Objective: We developed and validated an artificial intelligence pipeline that leverages diffusion models to enhance prognostic assessment of knee osteoarthritis (OA) by analyzing longitudinal changes in patella shape on lateral knee radiographs. Method: I ... Full text Cite

Cerebrovascular reactivity metrics as predictors of cognitive performance in healthy ageing: insights from transcranial colour-coded ultrasound

Journal Article Ultrasound Journal · December 1, 2025 Introduction: This study was designed to investigate the utility of cerebrovascular reactivity (CVR) metrics, derived from transcranial colour-coded Doppler ultrasound (TCCD). Three main CVR metrics were examined as potential markers for cerebrovascular ri ... Full text Cite

Tumor Imaging Heterogeneity Index-Inspired Insights into the Unveiling Tumor Microenvironment of Breast Cancer.

Journal Article Int J Mol Sci · November 30, 2025 This study addresses the limited mechanistic understanding behind medical imaging for tumor microenvironment (TME) assessment. We developed a novel framework that analyzes tumor imaging heterogeneity index (TIHI)-correlated genes to uncover underlying TME ... Full text Link to item Cite

Enhanced 4D diffusion-weighted PROPELLER echo-planar imaging with collaborative blade reconstruction.

Journal Article Phys Med Biol · November 28, 2025 Objective.Four-dimensional diffusion-weighted imaging (4D-DWI) offers enhanced soft-tissue contrast for image-guided radiotherapy (IGRT) compared to conventional 4D-magnetic resonance imaging. However, its clinical application has been hindered by geometri ... Full text Link to item Cite

Functional Dose-Volume Analysis Based on a Novel Image Biomarker Derived From Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Poststereotactic Body Radiation Therapy Liver Function Preservation in Patients With Hepatocellular Carcinoma

Journal Article Advances in Radiation Oncology · November 1, 2025 Purpose: The purpose of this study is to identify functional dose-volume parameters based on image biomarker derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for predicting poststereotactic body radiation therapy (SBRT) liver fun ... Full text Cite

Medical physics: an emerging interdisciplinary field

Journal Article Chinese Science Bulletin · November 1, 2025 Full text Cite

Prediction of axillary lymph node metastasis in breast cancer based on MRI: A novel domain adaptative radiomics pipeline for multicenter studies.

Journal Article Med Phys · November 2025 BACKGROUND: Breast cancer (BC) is the most common type of cancer among women. Axillary lymph node metastasis (ALNM) is strongly correlated with distant metastasis, recurrence, and overall survival rates in BC. Therefore, accurate detection of ALNM holds va ... Full text Link to item Cite

Lightweight deep training network for lymph nodes segmentation from head and neck CT images.

Journal Article Med Phys · November 2025 BACKGROUND: Accurate lymph node (LN) segmentation is highly beneficial for diagnosing and treating head and neck diseases. However, because of the varying sizes and complex shapes of LNs from the head and neck, as well as their blurred boundaries with surr ... Full text Link to item Cite

Interpretable and Performant Multimodal Nasopharyngeal Carcinoma GTV Segmentation with Clinical Priors Guided 3D-Gaussian-Prompted Diffusion Model (3DGS-PDM)

Journal Article Cancers · November 1, 2025 Background: Gross tumor volume (GTV) segmentation of Nasopharyngeal Carcinoma (NPC) crucially determines the precision of image-guided radiation therapy (IGRT) for NPC. Compared to other cancers, the clinical delineation of NPC is especially challenging du ... Full text Cite

A global perspective in contemporary medical physics

Journal Article Chinese Science Bulletin · November 1, 2025 This paper aims to outline the current status, major development directions, and challenges faced in the field of global medical physics, with a focus on education, certification, and technology. Based on the organizational structure of the International O ... Full text Cite

Deep Learning-Based Motion-Compensated Reconstruction for Accelerating 4-Dimensional Magnetic Resonance Fingerprinting.

Journal Article Int J Radiat Oncol Biol Phys · October 23, 2025 PURPOSE: To develop and validate DeepMocor, a deep learning-based method for motion-compensated 4-dimensional magnetic resonance fingerprinting (4D-MRF) reconstruction to accelerate conventional 4D-MRF reconstruction, enabling more efficient clinical treat ... Full text Link to item Cite

MRI for biology-guided radiation therapy: Are we there yet? A summary of the 2024 ISMRM member-initiated session.

Journal Article Magn Reson Med · October 2025 At the 2024 ISMRM Annual Meeting in Singapore, a member-initiated session on MRI for biology-guided radiation therapy (RT), endorsed by the ISMRM MR in RT Study Group, was successfully organized. The session convened a diverse group of global experts in qu ... Full text Link to item Cite

Evaluation of a fast-volumetric four-dimensional magnetic resonance imaging technique for abdominal radiotherapy tumor motion management

Journal Article Quantitative Imaging in Medicine and Surgery · October 1, 2025 Background: Motion management plays an important role in abdominal cancer radiotherapy. In this study, we investigated the motion measurement accuracy and tumor contrast in liver tumor using a fast volumetric four-dimensional magnetic resonance imaging (4D ... Full text Cite

A Review of Advances in Lung Function Imaging and Its Applications for Functional Lung Avoidance in Radiation Therapy.

Journal Article Semin Nucl Med · September 25, 2025 Lung function imaging, with a specific focus on quantifying ventilation and perfusion, has gained increasing recognition within the field of functional lung avoidance radiation therapy (FLART), a technique that incorporates functional information to minimi ... Full text Link to item Cite

Improved two-view interactional fuzzy learning based on mutual-rectification and knowledge-mergence.

Journal Article Neural Netw · September 2025 Nasopharyngeal carcinoma (NPC) is a malignant tumor that originates from the back of the nasal canal from above the soft palate to the upper larynx. Because the nasopharyngeal location is deeply hidden, it is often difficult for a single imaging means to c ... Full text Link to item Cite

Differentiating Bacterial and Non-Bacterial Pneumonia on Chest CT Using Multi-Plane Features and Clinical Biomarkers.

Journal Article Acad Radiol · September 2025 RATIONALE AND OBJECTIVES: Timely and accurate classification of bacterial pneumonia (BP) is essential for guiding antibiotic therapy. However, distinguishing BP from non-bacterial pneumonia (NBP) using computed tomography (CT) is challenging due to overlap ... Full text Link to item Cite

High spatiotemporal-resolution abdominal 4D-MRI through respiratory-synchronized frame collaborative reconstruction.

Journal Article Med Phys · September 2025 BACKGROUND: Four-dimensional magnetic resonance imaging (4D-MRI) holds great promise for precise abdominal radiotherapy guidance. However, current 4D-MRI methods are limited by an inherent trade-off between spatial and temporal resolutions, resulting in co ... Full text Link to item Cite

UTADC-Net: Unsupervised Topological-Aware Diffusion Condensation Network for Medical Image Segmentation.

Journal Article IEEE J Biomed Health Inform · August 6, 2025 Medical image segmentation plays a crucial role in computer-aided diagnosis and treatment planning. Unsupervised segmentation methods that can effectively leverage unlabeled data bring significant promise in clinical application. However, they remain a cha ... Full text Link to item Cite

Explainable attention-enhanced heuristic paradigm for multi-view prognostic risk score development in hepatocellular carcinoma.

Journal Article Hepatol Int · August 2025 PURPOSE: Existing prognostic staging systems depend on expensive manual extraction by pathologists, potentially overlooking latent patterns critical for prognosis, or use black-box deep learning models, limiting clinical acceptance. This study introduces a ... Full text Link to item Cite

A novel family model for dose prediction in esophageal cancer VMAT planning.

Journal Article Med Phys · August 2025 BACKGROUND: The tumor distribution in esophageal cancer exhibits high heterogeneity, making the design of corresponding volumetric modulated arc therapy (VMAT) plans challenging and time-consuming for medical physicists. PURPOSE: This study proposes a new ... Full text Link to item Cite

Interstitial-guided automatic clinical tumor volume segmentation network for cervical cancer brachytherapy.

Journal Article Comput Med Imaging Graph · July 2025 Automatic clinical tumor volume (CTV) delineation is pivotal to improving outcomes for interstitial brachytherapy cervical cancer. However, the prominent differences in gray values due to the interstitial needles bring great challenges on deep learning-bas ... Full text Link to item Cite

SynMSE: A multimodal similarity evaluator for complex distribution discrepancy in unsupervised deformable multimodal medical image registration.

Journal Article Med Image Anal · July 2025 Unsupervised deformable multimodal medical image registration often confronts complex scenarios, which include intermodality domain gaps, multi-organ anatomical heterogeneity, and physiological motion variability. These factors introduce substantial graysc ... Full text Link to item Cite

A Multi-Modal Deep Learning Approach for Predicting Eligibility for Adaptive Radiation Therapy in Nasopharyngeal Carcinoma Patients

Journal Article Cancers · July 1, 2025 Background: Adaptive radiation therapy (ART) can improve prognosis for nasopharyngeal carcinoma (NPC) patients. However, the inter-individual variability in anatomical changes, along with the resulting extension of treatment duration and increased workload ... Full text Cite

Artificial intelligence and its potential integration with the clinical practice of diagnostic imaging medical physicists: a review.

Journal Article Phys Eng Sci Med · June 2025 Current clinical practice in imaging medical physics is concerned with quality assurance, image processing and analysis, radiation dosimetry, risk assessment and radiation protection, and in-house training and research. Physicist workloads are projected to ... Full text Link to item Cite

Internal Target Volume Estimation for Liver Cancer Radiation Therapy Using an Ultra Quality 4-Dimensional Magnetic Resonance Imaging

Journal Article Advances in Radiation Oncology · June 1, 2025 Purpose: Accurate internal target volume (ITV) estimation is essential for effective and safe radiation therapy in liver cancer. This study evaluates the clinical value of an ultraquality 4-dimensional magnetic resonance imaging (UQ 4D-MRI) technique for I ... Full text Cite

Predictive Factors for Gastrointestinal and Genitourinary Toxicities in Prostate Cancer External Beam Radiotherapy: A Scoping Review

Journal Article Diagnostics · June 1, 2025 Advancements in radiotherapy (RT) techniques such as intensity modulation, image guidance, and hypofractionation have facilitated a satisfactory survival outcome in prostate cancer (PCa) patients. However, virtually all PCa patients suffer from various typ ... Full text Cite

Artifacts map-guided nonlocal mean denoising for abdominal 4-dimensional magnetic resonance imaging using view-sharing acquisition for radiotherapy motion management

Journal Article Engmedicine · June 1, 2025 The clinical adaptation of 4D-MRI in respiratory motion management is limited by the low image quality and motion artifacts of 4D-MRI sequences. This study aims to develop a novel artifact Map-guided Nonlocal mean (AM-NLM) technique that can be integrated ... Full text Cite

Dosimetric investigation of multi-parametric 4D-MRI for radiotherapy in liver cancer.

Journal Article Radiat Oncol · April 11, 2025 BACKGROUND: In radiotherapy, inadequate management of organ motion in liver cancer may lead to inadequate delineation accuracy, resulting in the underdosage of target tissues and overdosage of surrounding normal tissues. To investigate the clinical potenti ... Full text Link to item Cite

Constructing Surrogate Lung Ventilation Maps From 4-Dimensional Computed Tomography-Derived Subregional Respiratory Dynamics.

Journal Article Int J Radiat Oncol Biol Phys · April 1, 2025 PURPOSE: To present a 2-stage framework that robustly extracts and maps reliable lung ventilation surrogates based on subregional respiratory dynamics (SRDs) measured from 4-dimensional computed tomography (4DCT) images, with comprehensive consideration of ... Full text Link to item Cite

Feature-targeted deep learning framework for pulmonary tumorous Cone-beam CT (CBCT) enhancement with multi-task customized perceptual loss and feature-guided CycleGAN.

Journal Article Comput Med Imaging Graph · April 2025 Thoracic Cone-beam computed tomography (CBCT) is routinely collected during image-guided radiation therapy (IGRT) to provide updated patient anatomy information for lung cancer treatments. However, CBCT images often suffer from streaking artifacts and nois ... Full text Link to item Cite

Predicting disease progression from the rate of bodyweight change in nasopharyngeal carcinoma patient during radiotherapy.

Journal Article Sci Rep · March 3, 2025 Bodyweight loss is a common occurrence in Nasopharyngeal Carcinoma (NPC) patients during Radiotherapy (RT). Previous studies found that the prognostic value of percentage weight loss (pWL) during RT is not credible. We aimed to develop a novel progression ... Full text Link to item Cite

Weight censorial score: estimation of the weight loss during concurrent chemo-radiotherapy in nasopharyngeal carcinoma patients by image features predicts prognosis.

Journal Article Radiol Med · March 2025 PURPOSE: Bodyweight loss is commonly found in Nasopharyngeal Carcinoma patients during Concurrent Chemo-radiotherapy (CCRT) and has implications for treatment decisions. However, the prognostic value of this weight loss remains uncertain. We addressed it b ... Full text Link to item Cite

Anatomy-wise lung ventilation imaging for precise functional lung avoidance radiation therapy.

Journal Article Phys Med Biol · February 12, 2025 Objective.This study aimed to propose a method for obtaining anatomy-wise lung ventilation image (VIaw) that enables functional assessment of lung parenchyma and tumor-blocked pulmonary segments. The VIawwas used to define multiple functional volumes of th ... Full text Link to item Cite

Synthesis of pseudo-PET/CT fusion images in radiotherapy based on a new transformer model.

Journal Article Med Phys · February 2025 BACKGROUND: PET/CT and planning CT are commonly used medical images in radiotherapy for esophageal and nasopharyngeal cancer. However, repeated scans will expose patients to additional radiation doses and also introduce registration errors. This multimodal ... Full text Link to item Cite

A multi-center, multi-organ, multi-omic prediction model for treatment-induced severe oral mucositis in nasopharyngeal carcinoma.

Journal Article Radiol Med · February 2025 PURPOSE: Oral mucositis (OM) is one of the most prevalent and crippling treatment-related toxicities experienced by nasopharyngeal carcinoma (NPC) patients receiving radiotherapy (RT), posing a tremendous adverse impact on quality of life. This multi-cente ... Full text Link to item Cite

Artificial intelligence for chest X-ray image enhancement

Journal Article Radiation Medicine and Protection · February 1, 2025 The chest X-ray (CXR) imaging has been the most frequently performed radiographic examination for decades, and its demand continues to grow due to their critical role in diagnosing various diseases. However, the image quality of CXR has long been a factor ... Full text Cite

Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis.

Journal Article BMC Cancer · January 13, 2025 BACKGROUND AND OBJECTIVES: Accurate classification of lymphadenopathy is essential for determining the pathological nature of lymph nodes (LNs), which plays a crucial role in treatment selection. The biopsy method is invasive and carries the risk of sampli ... Full text Link to item Cite

Bridging MRI Cross-Modality Synthesis and Multi-Contrast Super-Resolution by Fine-Grained Difference Learning.

Journal Article IEEE Trans Med Imaging · January 2025 In multi-modal magnetic resonance imaging (MRI), the tasks of imputing or reconstructing the target modality share a common obstacle: the accurate modeling of fine-grained inter-modal differences, which has been sparingly addressed in current literature. T ... Full text Link to item Cite

Assessment of Radiomics Feature Repeatability and Reproducibility and Their Generalizability Across Image Modalities by Perturbation in Nasopharyngeal Carcinoma Patients

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2025 This study aims to evaluate the repeatability and reproducibility of radiomics features (RFs) under image perturbations and examine their generalizability across computed tomography (CT) and magnetic resonance (MR) images among nasopharyngeal carcinoma (NP ... Full text Cite

Motion and anatomy dual aware lung ventilation imaging by integrating Jacobian map and average CT image using dual path fusion network.

Journal Article Med Phys · January 2025 BACKGROUND: Deep learning-based computed tomography (CT) ventilation imaging (CTVI) is a promising technique for guiding functional lung avoidance radiotherapy (FLART). However, conventional approaches, which rely on anatomical CT data, may overlook import ... Full text Link to item Cite

Hierarchical Fuzzy Inference System Quantifiable Rule-Based Diagnosis of Radiation Dermatitis with Linguistically Refined Features-Driven Optimization

Journal Article Human Centric Computing and Information Sciences · January 1, 2025 The expeditious and precise diagnosis of radiation dermatitis (RD) is expected to mitigate the afflictions endured by patients. Dealing with the intricacies inherent in RD data, feature volatilities, inter-feature redundancies, and elusive quantification o ... Full text Cite

A Lightweight TSK Fuzzy Classifier With Quantitative Equivalent Fuzzy Rules via Adaptive Weighting

Journal Article IEEE Transactions on Fuzzy Systems · January 1, 2025 The first-order Takagi–Sugeno–Kang (TSK) fuzzy classifier with a fully combined fuzzy rule base (FuCo-FRB) is a potent and interpretable classifier for multiple input and multiple output (MIMO) tasks. However, FuCo-FRB poses an exponential increase in the ... Full text Cite

The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review

Journal Article IEEE Access · January 1, 2025 Automatic lymph node segmentation is the cornerstone for advances in computer vision tasks for early detection and staging of cancer. Traditional segmentation methods are constrained by manual delineation and variability in operator proficiency, limiting t ... Full text Cite

FuzzyMIL: Decoupling Pathological Phenotypes through Deep Fuzzy Clustering for Efficient Whole Slide Image Analysis

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · January 1, 2025 In Multiple Instance Learning (MIL) for Whole Slide Image (WSI) analysis, attention mechanisms are often employed to weigh the importance of different instances. However, global attention may lead to feature homogenization and overlook tissue differences. ... Full text Cite

Magnetic Resonance Imaging Safety: Magnetic Field–Related Hazards and Safety Measures

Journal Article Hong Kong Journal of Radiology · January 1, 2025 Providing excellent soft tissue contrast as well as functional and metabolic information, combined with non-ionising radiation exposure, magnetic resonance imaging (MRI) has become widely used as a powerful diagnostic tool. With technological advances, MRI ... Full text Cite

CPSN: Caputo Principal-Curve-Guided Segmentation Network on Ultrasound Kidney Databases

Journal Article Journal of Imaging Informatics in Medicine · January 1, 2025 The kidney contour is a critical reference for assessing whether a renal tumor has penetrated the renal capsule and invaded adjacent tissues. Accurate segmentation of the kidney contour is essential for estimating renal volume and constructing patient-spec ... Full text Cite

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks

Conference Proceedings of the International Joint Conference on Neural Networks · January 1, 2025 Within-frequency coupling (WFC) and cross-frequency coupling (CFC) in brain networks reflect neural synchronization within the same frequency band and cross-band oscillatory interactions, respectively. Their synergy provides a comprehensive understanding o ... Full text Cite

AI-based Automatic Prostate Gland Segmentation in Multi-modal Medical Imaging: A Review

Journal Article IEEE Transactions on Artificial Intelligence · January 1, 2025 Prostate cancer poses a significant threat to health, necessitating early detection to reduce mortality rates among patients. One approach involves using multi-modality (CT, MRI, US, etc.) computer-aided diagnosis (CAD) systems for the prostate region. How ... Full text Cite

Establishment of a CT-based radiomic feature robustness databank for OPC patients via image perturbation in a multi-institutional study: a practical method to safeguard model generalizability

Journal Article Frontiers in Oncology · January 1, 2025 Purpose: To guide the preselection of highly repeatable radiomic features (RFs) in downstream analysis without further analysis its repeatability, a detailed radiomic feature robustness databank (RF-RobustDB) was established via image perturbation. Methods ... Full text Cite

Artificial intelligence in clinical decision making

Chapter · January 1, 2025 This chapter provides an overview and fundamental understanding of artificial intelligence (AI) in clinical decision making. It starts with a brief introduction of clinical decision making and medical AI, followed by the development of medical AI and its a ... Full text Cite

A literature review of artificial intelligence (AI) for medical image segmentation: from AI and explainable AI to trustworthy AI

Journal Article Quantitative Imaging in Medicine and Surgery · December 5, 2024 Background and Objective: Medical image segmentation is a vital aspect of medical image processing, allowing healthcare professionals to conduct precise and comprehensive lesion analyses. Traditional segmentation methods are often labor intensive and influ ... Full text Cite

Evaluating Virtual Contrast-Enhanced Magnetic Resonance Imaging in Nasopharyngeal Carcinoma Radiation Therapy: A Retrospective Analysis for Primary Gross Tumor Delineation.

Journal Article Int J Radiat Oncol Biol Phys · December 1, 2024 PURPOSE: To investigate the potential of virtual contrast-enhanced magnetic resonance imaging (VCE-MRI) for gross-tumor-volume (GTV) delineation of nasopharyngeal carcinoma (NPC) using multi-institutional data. METHODS AND MATERIALS: This study retrospecti ... Full text Link to item Cite

Pseudo-CT synthesis in adaptive radiotherapy based on a stacked coarse-to-fine model: Combing diffusion process and spatial-frequency convolutions.

Journal Article Med Phys · December 2024 BACKGROUND: Cone beam computed tomography (CBCT) provides critical anatomical information for adaptive radiotherapy (ART), especially for tumors in the pelvic region that undergo significant deformation. However, CBCT suffers from inaccurate Hounsfield Uni ... Full text Link to item Cite

Using high-repeatable radiomic features improves the cross-institutional generalization of prognostic model in esophageal squamous cell cancer receiving definitive chemoradiotherapy

Journal Article Insights into Imaging · December 1, 2024 Objectives: Repeatability is crucial for ensuring the generalizability and clinical utility of radiomics-based prognostic models. This study aims to investigate the repeatability of radiomic feature (RF) and its impact on the cross-institutional generaliza ... Full text Cite

Coarse-to-Fine Approach: Automatic Delineation of Kidney Ultrasound Data

Journal Article Big Data Mining and Analytics · December 1, 2024 We present an automatic kidney segmentation method using ultrasound images. This method employs a coarse-to-fine approach to tackle the challenge of unclear and fuzzy boundaries. Four key innovations are introduced to enhance the segmentation process's acc ... Full text Cite

Quantitative texture analysis using machine learning for predicting interpretable pulmonary perfusion from non-contrast computed tomography in pulmonary embolism patients.

Journal Article Respir Res · October 28, 2024 BACKGROUND: Pulmonary embolism (PE) is life-threatening and requires timely and accurate diagnosis, yet current imaging methods, like computed tomography pulmonary angiography, present limitations, particularly for patients with contraindications to iodina ... Full text Link to item Cite

Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation.

Journal Article Med Image Anal · October 2024 Recent unsupervised domain adaptation (UDA) methods in medical image segmentation commonly utilize Generative Adversarial Networks (GANs) for domain translation. However, the translated images often exhibit a distribution deviation from the ideal due to th ... Full text Link to item Cite

Non-contrasted computed tomography (NCCT) based chronic thromboembolic pulmonary hypertension (CTEPH) automatic diagnosis using cascaded network with multiple instance learning.

Journal Article Phys Med Biol · September 13, 2024 Objective.The diagnosis of chronic thromboembolic pulmonary hypertension (CTEPH) is challenging due to nonspecific early symptoms, complex diagnostic processes, and small lesion sizes. This study aims to develop an automatic diagnosis method for CTEPH usin ... Full text Link to item Cite

An end-to-end deep convolutional neural network-based dose engine for parotid gland cancer seed implant brachytherapy.

Journal Article Med Phys · September 2024 BACKGROUND: Seed implant brachytherapy (SIBT) is a promising treatment modality for parotid gland cancers (PGCs). However, the current clinical standard dose calculation method based on the American Association of Physicists in Medicine (AAPM) Task Group 4 ... Full text Link to item Cite

Enhancing the Clinical Utility of Radiomics: Addressing the Challenges of Repeatability and Reproducibility in CT and MRI

Journal Article Diagnostics · August 1, 2024 Radiomics, which integrates the comprehensive characterization of imaging phenotypes with machine learning algorithms, is increasingly recognized for its potential in the diagnosis and prognosis of oncological conditions. However, the repeatability and rep ... Full text Cite

Comparative Analysis of Repeatability in CT Radiomics and Dosiomics Features under Image Perturbation: A Study in Cervical Cancer Patients

Journal Article Cancers · August 1, 2024 This study aims to evaluate the repeatability of radiomics and dosiomics features via image perturbation of patients with cervical cancer. A total of 304 cervical cancer patients with planning CT images and dose maps were retrospectively included. Random t ... Full text Cite

Automatic planning for functional lung avoidance radiotherapy based on function-guided beam angle selection and plan optimization.

Journal Article Phys Med Biol · July 17, 2024 Objective.This study aims to develop a fully automatic planning framework for functional lung avoidance radiotherapy (AP-FLART).Approach.The AP-FLART integrates a dosimetric score-based beam angle selection method and a meta-optimization-based plan optimiz ... Full text Link to item Cite

Reconstruction of multi-phase parametric maps in 4D-magnetic resonance fingerprinting (4D-MRF) by optimization of local T1 and T2 sensitivities.

Journal Article Med Phys · July 2024 BACKGROUND: Time-resolved magnetic resonance fingerprinting (MRF), or 4D-MRF, has been demonstrated its feasibility in motion management in radiotherapy (RT). However, the prohibitive long acquisition time is one of challenges of the clinical implementatio ... Full text Link to item Cite

Radiomics analysis of patellofemoral joint improves knee replacement risk prediction: Data from the Multicenter Osteoarthritis Study (MOST)

Journal Article Osteoarthritis and Cartilage Open · June 1, 2024 Objective: Knee replacement (KR) is the last-resort treatment for knee osteoarthritis. Although radiographic evidence of tibiofemoral joint has been widely adopted for prognostication, patellofemoral joint has gained little attention and may hold additiona ... Full text Cite

Pixelwise Gradient Model for Image Fusion (PGMIF): A multi-sequence magnetic resonance imaging (MRI) fusion model for tumor contrast enhancement of nasopharyngeal carcinoma

Journal Article Quantitative Imaging in Medicine and Surgery · June 1, 2024 Background: Different image modalities capture different aspects of a patient. It is desirable to produce images that capture all such features in a single image. This research investigates the potential of multi-modal image fusion method to enhance magnet ... Full text Cite

Enhancing pathological complete response prediction in breast cancer: the role of dynamic characterization of DCE-MRI and its association with tumor heterogeneity.

Journal Article Breast Cancer Res · May 14, 2024 BACKGROUND: Early prediction of pathological complete response (pCR) is important for deciding appropriate treatment strategies for patients. In this study, we aimed to quantify the dynamic characteristics of dynamic contrast-enhanced magnetic resonance im ... Full text Link to item Cite

Improvement of 2D cine image quality using 3D priors and cycle generative adversarial network for low field MRI-guided radiation therapy.

Journal Article Med Phys · May 2024 BACKGROUND: Cine magnetic resonance (MR) images have been used for real-time MR guided radiation therapy (MRgRT). However, the onboard MR systems with low-field strength face the problem of limited image quality. PURPOSE: To improve the quality of cine MR ... Full text Link to item Cite

Expert consensus on the construction and exploration of medical physics discipline in China

Journal Article Chinese Journal of Medical Physics · April 1, 2024 The consensus explores the construction and development of the medical physics discipline in China from various aspects such as medical physics education status, professional direction construction, curriculum design, internship requirements and graduation ... Full text Cite

Organ boundary delineation for automated diagnosis from multi-center using ultrasound images

Journal Article Expert Systems with Applications · March 15, 2024 Delineation of prostate boundary is a critical procedure in multi-modal prostate registration and patient-specific anatomical modeling for surgical planning and image-guided biopsy of prostate cancer. Accurate segmentation of the prostate from medical tran ... Full text Cite

Deep learning-based target tracking with X-ray images for radiotherapy: a narrative review.

Journal Article Quant Imaging Med Surg · March 15, 2024 BACKGROUND AND OBJECTIVE: As one of the main treatment modalities, radiotherapy (RT) (also known as radiation therapy) plays an increasingly important role in the treatment of cancer. RT could benefit greatly from the accurate localization of the gross tum ... Full text Link to item Cite

Pseudo-medical image-guided technology based on 'CBCT-only' mode in esophageal cancer radiotherapy.

Journal Article Comput Methods Programs Biomed · March 2024 Purpose To minimize the various errors introduced by image-guided radiotherapy (IGRT) in the application of esophageal cancer treatment, this study proposes a novel technique based on the 'CBCT-only' mode of pseudo-medical image guidance. Methods The frame ... Full text Link to item Cite

Fuzzy inference system with interpretable fuzzy rules: Advancing explainable artificial intelligence for disease diagnosis—A comprehensive review

Journal Article Information Sciences · March 1, 2024 Interpretable artificial intelligence (AI), also known as explainable AI, is indispensable in establishing trustable AI for bench-to-bedside translation, with substantial implications for human well-being. However, the majority of existing research in this ... Full text Cite

Pixelwise Gradient Model with GAN for Virtual Contrast Enhancement in MRI Imaging

Journal Article Cancers · March 1, 2024 Background: The development of advanced computational models for medical imaging is crucial for improving diagnostic accuracy in healthcare. This paper introduces a novel approach for virtual contrast enhancement (VCE) in magnetic resonance imaging (MRI), ... Full text Cite

Radiomics signature of osteoarthritis: Current status and perspective

Journal Article Journal of Orthopaedic Translation · March 1, 2024 Osteoarthritis (OA) is one of the fast-growing disability-related diseases worldwide, which has significantly affected the quality of patients' lives and brings about substantial socioeconomic burdens in medical expenditure. There is currently no cure for ... Full text Cite

Deep learning-based bronchial tree-guided semi-automatic segmentation of pulmonary segments in computed tomography images

Journal Article Quantitative Imaging in Medicine and Surgery · February 10, 2024 Background: Pulmonary segments are valuable because they can provide more precise localization and intricate details of lung cancer than lung lobes. With advances in precision therapy, there is an increasing demand for the identification and visualization ... Full text Cite

Multi-omics and Multi-VOIs to predict esophageal fistula in esophageal cancer patients treated with radiotherapy.

Journal Article J Cancer Res Clin Oncol · January 27, 2024 OBJECTIVE: This study aimed to develop a prediction model for esophageal fistula (EF) in esophageal cancer (EC) patients treated with intensity-modulated radiation therapy (IMRT), by integrating multi-omics features from multiple volumes of interest (VOIs) ... Full text Link to item Cite

Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI With Simultaneous Motion Estimation and Super-Resolution.

Journal Article IEEE Trans Med Imaging · January 2024 Four-dimensional magnetic resonance imaging (4D-MRI) is an emerging technique for tumor motion management in image-guided radiation therapy (IGRT). However, current 4D-MRI suffers from low spatial resolution and strong motion artifacts owing to the long ac ... Full text Link to item Cite

Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization.

Journal Article IEEE J Biomed Health Inform · January 2024 Recently, deep learning has been demonstrated to be feasible in eliminating the use of gadoliniumbased contrast agents (GBCAs) through synthesizing gadolinium-free contrast-enhanced MRI (GFCE-MRI) from contrast-free MRI sequences, providing the community w ... Full text Link to item Cite

Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels

Journal Article Information Fusion · January 1, 2024 With excellent global approximation performance and interpretability, Takagi-Sugeno-Kang (TSK) fuzzy systems have enjoyed a wide range of applications in various fields, such as smart control, medical, and finance. However, in handling high-dimensional com ... Full text Cite

A multi-center study of ultrasound images using a fully automated segmentation architecture

Journal Article Pattern Recognition · January 1, 2024 Accurate organ segmentation in ultrasound (US) images remains challenging because such images have inhomogeneous intensity distributions in their regions of interest (ROIs) and speckle and imaging artifacts. We address this problem by developing a coarse-t ... Full text Cite

Multi-omics fusion with soft labeling for enhanced prediction of distant metastasis in nasopharyngeal carcinoma patients after radiotherapy.

Journal Article Comput Biol Med · January 2024 Omics fusion has emerged as a crucial preprocessing approach in medical image processing, significantly assisting several studies. One of the challenges encountered in integrating omics data is the unpredictability arising from disparities in data sources ... Full text Link to item Cite

Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge.

Journal Article Radiol Imaging Cancer · January 2024 Purpose To describe the design, conduct, and results of the Breast Multiparametric MRI for prediction of neoadjuvant chemotherapy Response (BMMR2) challenge. Materials and Methods The BMMR2 computational challenge opened on May 28, 2021, and closed on Dece ... Full text Link to item Cite

Radioactive multi-omics collaborative learning for adaptive radiation therapy eligibility prediction in nasopharyngeal carcinoma

Journal Article Caai Transactions on Intelligent Systems · January 1, 2024 Traditional radiation omics models, including radiomics, dosiomics, and contouromics, typically adopt feature splicing, which tends to ignore the specific statistical attributes of different omics and therefore leads to overfitting. A multi-omics collabora ... Full text Cite

Deep Reconciled and Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability, and Theory

Journal Article IEEE Transactions on Fuzzy Systems · January 1, 2024 Stacking-based takagi-sugeno-kang (TSK) fuzzy system ensemble has been successfully applied to imbalanced data classification. However, there still exist many challenges that need to be further addressed. For example, during stacking, augmenting output var ... Full text Cite

Dynamic Chest Radiograph Simulation Technique with Deep Convolutional Neural Networks: A Proof-of-Concept Study.

Journal Article Cancers (Basel) · December 8, 2023 In this study, we present an innovative approach that harnesses deep neural networks to simulate respiratory lung motion and extract local functional information from single-phase chest X-rays, thus providing valuable auxiliary data for early diagnosis of ... Full text Link to item Cite

Motion-resolved four-dimensional abdominal diffusion-weighted imaging using PROPELLER EPI (4D-DW-PROPELLER-EPI).

Journal Article Magn Reson Med · December 2023 PURPOSE: To develop a distortion-free motion-resolved four-dimensional diffusion-weighted PROPELLER EPI (4D-DW-PROPELLER-EPI) technique for benefiting clinical abdominal radiotherapy (RT). METHODS: An improved abdominal 4D-DWI technique based on 2D diffusi ... Full text Link to item Cite

Ultra-fast multi-parametric 4D-MRI image reconstruction for real-time applications using a downsampling-invariant deformable registration (D2R) model.

Journal Article Radiother Oncol · December 2023 BACKGROUND AND PURPOSE: Motion estimation from severely downsampled 4D-MRI is essential for real-time imaging and tumor tracking. This simulation study developed a novel deep learning model for simultaneous MR image reconstruction and motion estimation, na ... Full text Link to item Cite

Coarse-to-fine tuning knowledgeable system for boundary delineation in medical images

Journal Article Applied Intelligence · December 1, 2023 Medical ultrasound image segmentation is crucial to the clinical diagnosis of planning for medical diseases. However, this task is challenging because of the missing/ambiguous edges and inhomogeneous intensity distribution of organs usually noted in ultras ... Full text Cite

Predictive Factors for Chemoradiation-Induced Oral Mucositis and Dysphagia in Head and Neck Cancer: A Scoping Review

Journal Article Cancers · December 1, 2023 Despite advances in head and neck cancer treatment, virtually all patients experience chemoradiation-induced toxicities. Oral mucositis (OM) and dysphagia are among the most prevalent and have a systemic impact on patients, hampering treatment outcome and ... Full text Cite

Computed Tomography-Based Radiomics for Long-Term Prognostication of High-Risk Localized Prostate Cancer Patients Received Whole Pelvic Radiotherapy.

Journal Article J Pers Med · November 24, 2023 Given the high death rate caused by high-risk prostate cancer (PCa) (>40%) and the reliability issues associated with traditional prognostic markers, the purpose of this study is to investigate planning computed tomography (pCT)-based radiomics for the lon ... Full text Link to item Cite

CBCT-to-CT Synthesis for Cervical Cancer Adaptive Radiotherapy via U-Net-Based Model Hierarchically Trained with Hybrid Dataset

Journal Article Cancers · November 1, 2023 Purpose: To develop a deep learning framework based on a hybrid dataset to enhance the quality of CBCT images and obtain accurate HU values. Materials and Methods: A total of 228 cervical cancer patients treated in different LINACs were enrolled. We develo ... Full text Cite

Comparing effectiveness of image perturbation and test retest imaging in improving radiomic model reliability.

Journal Article Sci Rep · October 25, 2023 Image perturbation is a promising technique to assess radiomic feature repeatability, but whether it can achieve the same effect as test-retest imaging on model reliability is unknown. This study aimed to compare radiomic model reliability based on repeata ... Full text Link to item Cite

Novel Solution for Using Neural Networks for Kidney Boundary Extraction in 2D Ultrasound Data.

Journal Article Biomolecules · October 19, 2023 Background and Objective: Kidney ultrasound (US) imaging is a significant imaging modality for evaluating kidney health and is essential for diagnosis, treatment, surgical intervention planning, and follow-up assessments. Kidney US image segmentation consi ... Full text Link to item Cite

Respiratory-Correlated 4-Dimensional Magnetic Resonance Fingerprinting for Liver Cancer Radiation Therapy Motion Management.

Journal Article Int J Radiat Oncol Biol Phys · October 1, 2023 PURPOSE: The objective of this study was to develop a respiratory-correlated (RC) 4-dimensional (4D) imaging technique based on magnetic resonance fingerprinting (MRF) (RC-4DMRF) for liver tumor motion management in radiation therapy. METHODS AND MATERIALS ... Full text Link to item Cite

Boundary delineation in transrectal ultrasound images for region of interest of prostate.

Journal Article Phys Med Biol · September 20, 2023 Accurate and robust prostate segmentation in transrectal ultrasound (TRUS) images is of great interest for ultrasound-guided brachytherapy for prostate cancer. However, the current practice of manual segmentation is difficult, time-consuming, and prone to ... Full text Link to item Cite

Automatic coarse-to-refinement-based ultrasound prostate segmentation using optimal polyline segment tracking method and deep learning

Journal Article Applied Intelligence · September 1, 2023 Automatic segmentation of the prostate in transrectal ultrasound (TRUS) images provides useful information for prostate cancer diagnosis and treatment. However, boundaries between the prostate and other tissues are often absent or ill defined in TRUS image ... Full text Cite

A mathematical and neural network-based hybrid technique for detecting the prostate contour from medical image data

Journal Article Biomedical Signal Processing and Control · September 1, 2023 Extraction of prostate contour on transrectal ultrasound (TRUS) is significant in prostate cancer diagnosis. With the low-contrast images of TRUS and the existence of imaging artifacts, detecting the prostate accurately from TRUS images becomes more and mo ... Full text Cite

An overview of artificial intelligence in medical physics and radiation oncology

Journal Article Journal of the National Cancer Center · September 1, 2023 Artificial intelligence (AI) is developing rapidly and has found widespread applications in medicine, especially radiotherapy. This paper provides a brief overview of AI applications in radiotherapy, and highlights the research directions of AI that can po ... Full text Cite

Respiratory Invariant Textures From Static Computed Tomography Scans for Explainable Lung Function Characterization.

Journal Article J Thorac Imaging · September 1, 2023 PURPOSE: The inherent characteristics of lung tissue independent of breathing maneuvers may provide fundamental information for function assessment. This paper attempted to correlate textural signatures from computed tomography (CT) with pulmonary function ... Full text Link to item Cite

Multi-parametric MRI for radiotherapy simulation.

Journal Article Med Phys · August 2023 Magnetic resonance imaging (MRI) has become an important imaging modality in the field of radiotherapy (RT) in the past decade, especially with the development of various novel MRI and image-guidance techniques. In this review article, we will describe rec ... Full text Link to item Cite

A Robust and Explainable Structure-Based Algorithm for Detecting the Organ Boundary From Ultrasound Multi-Datasets.

Journal Article J Digit Imaging · August 2023 Detecting the organ boundary in an ultrasound image is challenging because of the poor contrast of ultrasound images and the existence of imaging artifacts. In this study, we developed a coarse-to-refinement architecture for multi-organ ultrasound segmenta ... Full text Link to item Cite

Explainable machine learning via intra-tumoral radiomics feature mapping for patient stratification in adjuvant chemotherapy for locoregionally advanced nasopharyngeal carcinoma.

Journal Article Radiol Med · July 2023 PURPOSE: This study aimed to discover intra-tumor heterogeneity signature and validate its predictive value for adjuvant chemotherapy (ACT) following concurrent chemoradiotherapy (CCRT) in locoregionally advanced nasopharyngeal carcinoma (LA-NPC). MATERIAL ... Full text Link to item Cite

Noninvasive imaging signatures of HER2 and HR using ADC in invasive breast cancer: repeatability, reproducibility, and association with pathological complete response to neoadjuvant chemotherapy.

Journal Article Breast Cancer Res · June 28, 2023 BACKGROUND: The immunohistochemical test (IHC) of HER2 and HR can provide prognostic information and treatment guidance for invasive breast cancer patients. We aimed to develop noninvasive image signatures ISHER2 and ISHR of HER2 and HR, respectively. We i ... Full text Link to item Cite

Multi-view Contrastive Learning with Additive Margin for Adaptive Nasopharyngeal Carcinoma Radiotherapy Prediction

Conference Icmr 2023 Proceedings of the 2023 ACM International Conference on Multimedia Retrieval · June 12, 2023 The accurate prediction of adaptive radiation therapy (ART) for nasopharyngeal carcinoma (NPC) patients before radiation therapy (RT) is crucial for minimizing toxicity and enhancing patient survival rates. Owing to the complexity of the tumor micro-enviro ... Full text Cite

Highly accelerated dynamic acquisition of 3D grid-tagged hyperpolarized-gas lung images using compressed sensing.

Journal Article Magn Reson Med · June 2023 PURPOSE: To develop and test compressed sensing-based multiframe 3D MRI of grid-tagged hyperpolarized gas in the lung. THEORY AND METHODS: Applying grid-tagging RF pulses to inhaled hyperpolarized gas results in images in which signal intensity is predicta ... Full text Link to item Cite

Radiomic feature repeatability and its impact on prognostic model generalizability: A multi-institutional study on nasopharyngeal carcinoma patients.

Journal Article Radiother Oncol · June 2023 BACKGROUND AND PURPOSE: To investigate the radiomic feature (RF) repeatability via perturbation and its impact on cross-institutional prognostic model generalizability in Nasopharyngeal Carcinoma (NPC) patients. MATERIALS AND METHODS: 286 and 183 NPC patie ... Full text Link to item Cite

Ultrasound Prostate Segmentation Using Adaptive Selection Principal Curve and Smooth Mathematical Model.

Journal Article J Digit Imaging · June 2023 Accurate prostate segmentation in ultrasound images is crucial for the clinical diagnosis of prostate cancer and for performing image-guided prostate surgery. However, it is challenging to accurately segment the prostate in ultrasound images due to their l ... Full text Link to item Cite

Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling.

Journal Article Mil Med Res · May 16, 2023 Modern medicine is reliant on various medical imaging technologies for non-invasively observing patients' anatomy. However, the interpretation of medical images can be highly subjective and dependent on the expertise of clinicians. Moreover, some potential ... Full text Link to item Cite

Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation Therapy

Journal Article Cancers · April 1, 2023 (1) Background: Acute oral mucositis is the most common side effect for nasopharyngeal carcinoma patients receiving radiotherapy. Improper or delayed intervention to severe AOM could degrade the quality of life or survival for NPC patients. An effective pr ... Full text Cite

Multi-omics to predict acute radiation esophagitis in patients with lung cancer treated with intensity-modulated radiation therapy.

Journal Article Eur J Med Res · March 19, 2023 PURPOSE: The study aimed to predict acute radiation esophagitis (ARE) with grade  ≥ 2 for patients with locally advanced lung cancer (LALC) treated with intensity-modulated radiation therapy (IMRT) using multi-omics features, including radiomics and dosiom ... Full text Link to item Cite

Deep learning attention-guided radiomics for COVID-19 chest radiograph classification

Journal Article Quantitative Imaging in Medicine and Surgery · February 1, 2023 Background: Accurate assessment of coronavirus disease 2019 (COVID-19) lung involvement through chest radiograph plays an important role in effective management of the infection. This study aims to develop a two-step feature merging method to integrate ima ... Full text Cite

Association of Multi-Phasic MR-Based Radiomic and Dosimetric Features with Treatment Response in Unresectable Hepatocellular Carcinoma Patients following Novel Sequential TACE-SBRT-Immunotherapy

Journal Article Cancers · February 1, 2023 This study aims to investigate the association of pre-treatment multi-phasic MR-based radiomics and dosimetric features with treatment response to a novel sequential trans-arterial chemoembolization (TACE) plus stereotactic body radiotherapy (SBRT) plus im ... Full text Cite

View-sharing for 4D magnetic resonance imaging with randomized projection-encoding enables improvements of respiratory motion imaging for treatment planning in abdominothoracic radiotherapy.

Journal Article Phys Imaging Radiat Oncol · January 2023 BACKGROUND AND PURPOSE: The accuracy and precision of radiation therapy are dependent on the characterization of organ-at-risk and target motion. This work aims to demonstrate a 4D magnetic resonance imaging (MRI) method for improving spatial and temporal ... Full text Link to item Cite

Quantitative Spatial Characterization of Lymph Node Tumor for N Stage Improvement of Nasopharyngeal Carcinoma Patients

Journal Article Cancers · January 1, 2023 This study aims to investigate the feasibility of improving the prognosis stratification of the N staging system of Nasopharyngeal Carcinoma (NPC) from quantitative spatial characterizations of metastatic lymph node (LN) for NPC in a multi-institutional se ... Full text Cite

Artificial intelligence-assisted multistrategy image enhancement of chest X-rays for COVID-19 classification

Journal Article Quantitative Imaging in Medicine and Surgery · January 1, 2023 Background: The coronavirus disease 2019 (COVID-19) led to a dramatic increase in the number of cases of patients with pneumonia worldwide. In this study, we aimed to develop an AI-assisted multistrategy image enhancement technique for chest X-ray (CXR) im ... Full text Cite

A super-voxel-based method for generating surrogate lung ventilation images from CT

Journal Article Frontiers in Physiology · January 1, 2023 Purpose: This study aimed to develop and evaluate (Formula presented.), a super-voxel-based method for surrogate computed tomography ventilation imaging (CTVI). Methods and Materials: The study used four-dimensional CT (4DCT) and single-photon emission com ... Full text Cite

Integrating CT-based radiomic model with clinical features improves long-term prognostication in high-risk prostate cancer

Journal Article Frontiers in Oncology · January 1, 2023 Objective: High-risk prostate cancer (PCa) is often treated by prostate-only radiotherapy (PORT) owing to its favourable toxicity profile compared to whole-pelvic radiotherapy. Unfortunately, more than 50% patients still developed disease progression follo ... Full text Cite

Multi-View & Transfer Learning for Epilepsy Recognition Based on EEG Signals

Journal Article Computers Materials and Continua · January 1, 2023 Epilepsy is a central nervous system disorder in which brain activity becomes abnormal. Electroencephalogram (EEG) signals, as recordings of brain activity, have been widely used for epilepsy recognition. To study epileptic EEG signals and develop artifici ... Full text Cite

Multi-Kernel Fusion with Fuzzy Label Relaxation for Predicting Distant Metastasis in Nasopharyngeal Carcinoma

Conference International Conference on Digital Signal Processing DSP · January 1, 2023 The heterogeneity of omics data poses a challenge for feature fusion in the medical field due to source differences. This study aims to construct a fusion method that can reduce the differences between omics data, enabling them to jointly contribute to spe ... Full text Cite

Intelligent contour extraction approach for accurate segmentation of medical ultrasound images

Journal Article Frontiers in Physiology · January 1, 2023 Introduction: Accurate contour extraction in ultrasound images is of great interest for image-guided organ interventions and disease diagnosis. Nevertheless, it remains a problematic issue owing to the missing or ambiguous outline between organs (i.e., pro ... Full text Cite

Delineation of Prostate Boundary from Medical Images via a Mathematical Formula-Based Hybrid Algorithm

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2023 The precise extraction of the contour of prostate on transrectal ultrasound (TRUS) is crucial for the diagnosis and treatment of prostate tumor. Due to the relatively low signal-to-noise ratio (SNR) of TRUS images and the potential of imaging artifacts, ac ... Full text Cite

Virtual Contrast-Enhanced MRI Synthesis with High Model Generalizability Using Trusted Federated Learning (FL-TrustVCE): A Multi-institutional Study

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2023 In this study, we developed a trusted federated learning framework (FL-TrustVCE) for multi-institutional virtual contrast-enhanced MRI (VCE-MRI) synthesis. The FL-TrustVCE is featured with patient privacy preservation, data poisoning prevention, and multi- ... Full text Cite

Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2023 This study aims to investigate the clinical efficacy of AI generated virtual contrast-enhanced MRI (VCE-MRI) in primary gross-tumor-volume (GTV) delineation for patients with nasopharyngeal carcinoma (NPC). We retrospectively retrieved 303 biopsy-proven NP ... Full text Cite

Radiomics-Dosiomics-Contouromics Collaborative Learning for Adaptive Radiotherapy Eligibility Prediction in Nasopharyngeal Carcinoma

Conference Proceedings 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine Bibm 2023 · January 1, 2023 Radiomics, dosiomics and contouromics have been combined to predict adaptive radiotherapy eligibility in nasopharyngeal carcinoma. However, the commonly-used feature concatenation ignores the complementary or consistency relationship across different omics ... Full text Cite

Hybrid Intelligent-Annotation Organ Segmentation on Medical Datasets

Conference Conference Proceedings IEEE International Conference on Systems Man and Cybernetics · January 1, 2023 Ultrasound image segmentation is crucial for early disease detection and treatment planning but remains a challenging task due to the low contrast of organ boundaries and varying image quality. Current methods often require manual intervention or have limi ... Full text Cite

Contour Detection from Ultrasound Kidney Images with A Coarse-to-Fine Approach

Conference Conference Proceedings IEEE International Conference on Systems Man and Cybernetics · January 1, 2023 Ultrasound kidney image segmentation presents significant challenges due to missing or ambiguous boundaries. In this study, we introduce a coarse-to-refinement approach incorporating four novel aspects. Firstly, we leverage the properties of a principal cu ... Full text Cite

Editorial: Personalized radiation therapy: Guided with imaging technologies

Journal Article Frontiers in Oncology · December 6, 2022 Full text Cite

Review of methodological workflow, interpretation and limitations of nomogram application in cancer study

Journal Article Radiation Medicine and Protection · December 1, 2022 Nomograms have been increasingly adopted in cancer studies for predicting a variety of clinical outcomes. Compared to conventional prediction approaches, nomograms present an excellent graphical easy-to-interpret visualization and by combining patients’ ch ... Full text Cite

Volumetric multiphase ventilation imaging based on four-dimensional computed tomography for functional lung avoidance radiotherapy.

Journal Article Med Phys · November 2022 PURPOSE: Current computed tomography (CT)-based lung ventilation imaging (CTVI) techniques derive a static ventilation image without temporal information. This research aims to develop a four-dimensional CT (4DCT)-based multiphase dynamic ventilation imagi ... Full text Link to item Cite

H-ProMed: Ultrasound image segmentation based on the evolutionary neural network and an improved principal curve

Journal Article Pattern Recognition · November 1, 2022 The purpose of this work is to develop a method for accurate and robust prostate segmentation in transrectal ultrasound (TRUS) images. These images are difficult to segment due to missing/ambiguous boundary between the prostate and neighboring structures, ... Full text Cite

Radiomics-Based Detection of COVID-19 from Chest X-ray Using Interpretable Soft Label-Driven TSK Fuzzy Classifier

Journal Article Diagnostics · November 1, 2022 The COVID-19 pandemic has posed a significant global public health threat with an escalating number of new cases and death toll daily. The early detection of COVID-related CXR abnormality potentially allows the early isolation of suspected cases. Chest X-R ... Full text Cite

Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma

Journal Article Frontiers in Oncology · October 14, 2022 Background: Using high robust radiomic features in modeling is recommended, yet its impact on radiomic model is unclear. This study evaluated the radiomic model’s robustness and generalizability after screening out low-robust features before radiomic model ... Full text Cite

Artificial intelligence in multiparametric magnetic resonance imaging: A review.

Journal Article Med Phys · October 2022 Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the clinical workflow for the diagnosis and treatment planning of various diseases. Machine learning-based artificial intelligence (AI) methods, especially those adopting the de ... Full text Link to item Cite

Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients

Journal Article Cancers · October 1, 2022 Purpose: To evaluate the effectiveness of features obtained from our proposed incremental-dose-interval-based lung subregion segmentation (IDLSS) for predicting grade ≥ 2 acute radiation pneumonitis (ARP) in lung cancer patients upon intensity-modulated ra ... Full text Cite

Reliability of gradient-based segmentation for measuring metabolic parameters influenced by uptake time on 18F-PSMA-1007 PET/CT for prostate cancer

Journal Article Frontiers in Oncology · September 29, 2022 Purpose: To determine an optimal setting for functional contouring and quantification of prostate cancer lesions with minimal variation by evaluating metabolic parameters on 18F-PSMA-1007 PET/CT measured by threshold-based and gradient-based methods under ... Full text Cite

Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients

Journal Article Frontiers in Pharmacology · September 19, 2022 Purpose: This study investigates the impact of lung function on radiation pneumonitis prediction using a dual-omics analysis method. Methods: We retrospectively collected data of 126 stage III lung cancer patients treated with chemo-radiotherapy using inte ... Full text Cite

Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy(Front Oncol., (2021), 11, (644703), 10.3389/fonc.2021.644703)

Journal Article Frontiers in Oncology · September 5, 2022 In the published article, there was an error in the Funding statement. The funding statement for the General Research Fund was displayed as “GRF 151022/19M”. The correct Funding statement appears below. ... Full text Cite

Motion-resolved and free-breathing liver MRF.

Journal Article Magn Reson Imaging · September 2022 PURPOSE: To develop a motion-resolved and free-breathing liver magnetic resonance fingerprinting (MRF) protocol. METHODS: The deformation maps were obtained from the first singular image of MRF data. The reconstruction method enforced the consistency of th ... Full text Link to item Cite

Improving liver tumor image contrast and synthesizing novel tissue contrasts by adaptive multiparametric MRI fusion.

Journal Article Precis Radiat Oncol · September 2022 PURPOSE: Multiparametric MRI contains rich and complementary anatomical and functional information, which is often utilized separately. This study aims to propose an adaptive multiparametric MRI (mpMRI) fusion method and examine its capability in improving ... Full text Link to item Cite

H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning

Journal Article International Journal of Computer Vision · August 1, 2022 Prostate segmentation is an important step in prostate volume estimation, multi-modal image registration, and patient-specific anatomical modeling for surgical planning and image-guided biopsy. Manual delineation of the prostate contour is time-consuming a ... Full text Cite

Deep Learning-Based Automatic Assessment of Radiation Dermatitis in Patients With Nasopharyngeal Carcinoma.

Journal Article Int J Radiat Oncol Biol Phys · July 1, 2022 PURPOSE: Radiation dermatitis (RD) is a common, unpleasant side effect of patients receiving radiation therapy. In clinical practice, the severity of RD is graded manually through visual inspection, which is labor intensive and often leads to large interra ... Full text Link to item Cite

Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs

Journal Article Quantitative Imaging in Medicine and Surgery · July 1, 2022 Background: Coronavirus disease 2019 (COVID-19) is a pandemic disease. Fast and accurate diagnosis of COVID-19 from chest radiography may enable more efficient allocation of scarce medical resources and hence improved patient outcomes. Deep learning classi ... Full text Cite

A Transfer Learning Framework for Deep Learning-Based CT-to-Perfusion Mapping on Lung Cancer Patients

Journal Article Frontiers in Oncology · July 1, 2022 Purpose: Deep learning model has shown the feasibility of providing spatial lung perfusion information based on CT images. However, the performance of this method on lung cancer patients is yet to be investigated. This study aims to develop a transfer lear ... Full text Cite

Real-time MRI motion estimation through an unsupervised k-space-driven deformable registration network (KS-RegNet).

Journal Article Phys Med Biol · June 29, 2022 Purpose. Real-time three-dimensional (3D) magnetic resonance (MR) imaging is challenging because of slow MR signal acquisition, leading to highly under-sampled k-space data. Here, we proposed a deep learning-based, k-space-driven deformable registration ne ... Full text Link to item Cite

Clinical Evaluation of Fiducial Marker Pre-Planning for Virtual Bronchoscopic Navigation Implantation in Lung Tumour Patients Treated With CyberKnife

Journal Article Frontiers in Oncology · June 16, 2022 Purpose: For the treatment of invisible lung tumours with CyberKnife (CK), fiducial markers (FMs) were implanted as an internal surrogate under virtual bronchoscopic navigation (VBN). This research aims to study the benefits of introducing an additional pr ... Full text Cite

Building reliable radiomic models using image perturbation.

Journal Article Sci Rep · June 16, 2022 Radiomic model reliability is a central premise for its clinical translation. Presently, it is assessed using test-retest or external data, which, unfortunately, is often scarce in reality. Therefore, we aimed to develop a novel image perturbation-based me ... Full text Link to item Cite

Semi-Automatic Prostate Segmentation From Ultrasound Images Using Machine Learning and Principal Curve Based on Interpretable Mathematical Model Expression

Journal Article Frontiers in Oncology · June 7, 2022 Accurate prostate segmentation in transrectal ultrasound (TRUS) is a challenging problem due to the low contrast of TRUS images and the presence of imaging artifacts such as speckle and shadow regions. To address this issue, we propose a semi-automatic mod ... Full text Cite

H-ProSeg: Hybrid ultrasound prostate segmentation based on explainability-guided mathematical model.

Journal Article Comput Methods Programs Biomed · June 2022 BACKGROUND AND OBJECTIVE: Accurate and robust prostate segmentation in transrectal ultrasound (TRUS) images is of great interest for image-guided prostate interventions and prostate cancer diagnosis. However, it remains a challenging task for various reaso ... Full text Link to item Cite

Review of functional magnetic resonance imaging in the assessment of nasopharyngeal carcinoma treatment response

Journal Article Precision Radiation Oncology · June 1, 2022 Nasopharyngeal carcinoma (NPC) is a common malignancy endemic in South-East Asia. Functional magnetic resonance imaging (fMRI) has been used for prompt detection of treatment response before visible morphological changes in NPC treatment. Among different f ... Full text Cite

A dual-supervised deformation estimation model (DDEM) for constructing ultra-quality 4D-MRI based on a commercial low-quality 4D-MRI for liver cancer radiation therapy.

Journal Article Med Phys · May 2022 BACKGROUND: Most available four-dimensional (4D)-magnetic resonance imaging (MRI) techniques are limited by insufficient image quality and long acquisition times or require specially designed sequences or hardware that are not available in the clinic. Thes ... Full text Link to item Cite

Dose prediction via distance-guided deep learning: Initial development for nasopharyngeal carcinoma radiotherapy.

Journal Article Radiother Oncol · May 2022 BACKGROUND AND PURPOSE: Geometric information such as distance information is essential for dose calculations in radiotherapy. However, state-of-the-art dose prediction methods use only binary masks without distance information. This study aims to develop ... Full text Link to item Cite

Horizontal progressive and longitudinal leapfrogging fuzzy classification with feature activity adjustment

Journal Article Applied Soft Computing · April 1, 2022 Classification accuracy and interpretability are crucial importance for recognizing seizures based on electroencephalogram (EEG) signals. This study presents a novel deep ladder-type Takagi–Sugeno–Kang (TSK) fuzzy classifier (D-LT-TSK) that alternately uti ... Full text Cite

Virtual Contrast-Enhanced Magnetic Resonance Images Synthesis for Patients With Nasopharyngeal Carcinoma Using Multimodality-Guided Synergistic Neural Network.

Journal Article Int J Radiat Oncol Biol Phys · March 15, 2022 PURPOSE: To investigate a novel deep-learning network that synthesizes virtual contrast-enhanced T1-weighted (vceT1w) magnetic resonance images (MRI) from multimodality contrast-free MRI for patients with nasopharyngeal carcinoma (NPC). METHODS AND MATERIA ... Full text Link to item Cite

Multiresolution residual deep neural network for improving pelvic CBCT image quality.

Journal Article Med Phys · March 2022 PURPOSE: Cone-beam computed tomography (CBCT) is frequently used for accurate image-guided radiation therapy. However, the poor CBCT image quality prevents its further clinical use. Thus, it is important to improve the HU accuracy and structure preservatio ... Full text Link to item Cite

Advances in MRI-guided precision radiotherapy

Journal Article Precision Radiation Oncology · March 1, 2022 Magnetic resonance imaging (MRI) is becoming increasingly important in precision radiotherapy owing to its excellent soft-tissue contrast and versatile scan options. Many recent advances in MRI have been shown to be promising for MRI-guided radiotherapy an ... Full text Cite

Respiratory 4D-Gating F-18 FDG PET/CT Scan for Liver Malignancies: Feasibility in Liver Cancer Patient and Tumor Quantitative Analysis

Journal Article Frontiers in Oncology · February 9, 2022 Purpose: To evaluate the potential clinical role and effectiveness of respiratory 4D-gating F-18 FDG PET/CT scan for liver malignancies, relative to routine (3D) F-18 FDG PET/CT scan. Materials and Methods: This study presented a prospective clinical study ... Full text Cite

A Multi-Center Study of CT-Based Neck Nodal Radiomics for Predicting an Adaptive Radiotherapy Trigger of Ill-Fitted Thermoplastic Masks in Patients with Nasopharyngeal Carcinoma

Journal Article Life · February 1, 2022 Significant lymph node shrinkage is common in patients with nasopharyngeal carcinoma (NPC) throughout radiotherapy (RT) treatment, causing ill-fitted thermoplastic masks (IfTMs). To deal with this, an ad hoc adaptive radiotherapy (ART) may be required to e ... Full text Cite

Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy

Journal Article Frontiers in Oncology · January 31, 2022 Purpose: To investigate the role of different multi-organ omics-based prediction models for pre-treatment prediction of Adaptive Radiotherapy (ART) eligibility in patients with nasopharyngeal carcinoma (NPC). Methods and Materials: Pre-treatment contrast-e ... Full text Cite

Integration of an imbalance framework with novel high-generalizable classifiers for radiomics-based distant metastases prediction of advanced nasopharyngeal carcinoma[Formula presented]

Journal Article Knowledge Based Systems · January 10, 2022 Model overfitting and data imbalance are two main challenges in radiomics studies. In this study, we develop a high-generalizable classifier MERGE (Multi-kErnel Regression with Graph Embedding) and an imbalance framework SUS (Sensitivity-based Under-Sampli ... Full text Cite

Glioma segmentation of optimized 3D U-net and prediction of multi-modal survival time

Journal Article Neural Computing and Applications · January 1, 2022 It is difficult to segment Glioma and its internal structure because the Glioma boundaries have edemas and complex internal structures. This paper proposes a new optimized, integrated 3D U-Net network to achieve accurate segmentation of Glioma and internal ... Full text Cite

Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma.

Journal Article Front Oncol · 2022 PURPOSE: Tumor delineation plays a critical role in radiotherapy for hepatocellular carcinoma (HCC) patients. The incorporation of MRI might improve the ability to correctly identify tumor boundaries and delineation consistency. In this study, we evaluated ... Full text Link to item Cite

Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2022 The purpose of this study is to investigate the model generalizability using multi-institutional data for virtual contrast-enhanced MRI (VCE-MRI) synthesis. This study presented a retrospective analysis of contrast-free T1-weighted (T1w), T2-weighted (T2w) ... Full text Cite

Repeatability of Radiomic Features Against Simulated Scanning Position Stochasticity Across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-institutional Study on Head-and-Neck Cases

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2022 We attempted to investigate the Radiomic feature (RF) repeatability and its agreements across imaging modalities and head-and-neck cancer (HNC) subtypes via image perturbations. Contrast-enhanced computed tomography (CECT), CET1-weight, T2-weight magnetic ... Full text Cite

Explainability-guided Mathematical Model-Based Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy

Conference Proceedings 2022 IEEE International Conference on Bioinformatics and Biomedicine Bibm 2022 · January 1, 2022 Accurate segmentation of the prostate is important to image-guided prostate biopsy and brachytherapy treatment planning. However, the incompleteness of prostate boundary increases the challenges in the automatic ultrasound prostate segmentation task. In th ... Full text Cite

Improving the Detection of The Prostrate in Ultrasound Images Using Machine Learning Based Image Processing

Conference Proceedings International Symposium on Biomedical Imaging · January 1, 2022 This work aims to develop a method for accurate prostate segmentation in transrectal ultrasound (TRUS) images. However, accurate prostate segmentation remains a challenging task for many reasons, such as the missing/ambiguous boundary between the prostate ... Full text Cite

Multi-contrast four-dimensional magnetic resonance imaging (MC-4D-MRI): Development and initial evaluation in liver tumor patients.

Journal Article Med Phys · December 2021 PURPOSE: To develop a novel multi-contrast four-dimensional magnetic resonance imaging (MC-4D-MRI) technique that expands single image contrast 4D-MRI to a spectrum of native and synthetic image contrasts and to evaluate its feasibility in liver tumor pati ... Full text Link to item Cite

Deep learning for automatic target volume segmentation in radiation therapy: A review

Journal Article Quantitative Imaging in Medicine and Surgery · December 1, 2021 Deep learning, a new branch of machine learning algorithm, has emerged as a fast growing trend in medical imaging and become the state-of-the-art method in various clinical applications such as Radiology, Histo-pathology and Radiation Oncology. Specificall ... Full text Cite

A review of deep learning-based three-dimensional medical image registration methods

Journal Article Quantitative Imaging in Medicine and Surgery · December 1, 2021 Medical image registration is a vital component of many medical procedures, such as image-guided radiotherapy (IGRT), as it allows for more accurate dose-delivery and better management of side effects. Recently, the successful implementation of deep learni ... Full text Cite

Deep learning-based bone suppression in chest radiographs using CT-derived features: A feasibility study

Journal Article Quantitative Imaging in Medicine and Surgery · December 1, 2021 Background: Bone suppression of chest X-ray holds the potential to improve the accuracy of target localization in image-guided radiation therapy (IGRT). However, the training dataset for bone suppression is limited because of the scarcity of bone-free radi ... Full text Cite

Deep Learning-Based Automatic Delineation of Target Volumes and Organs at Risk of Breast Cancer for On-Line Dosimetric Evaluation.

Journal Article International journal of radiation oncology, biology, physics · November 2021 Purpose/objective(s)In this study, we developed a deep learning model to achieve automatic multi-target delineation on planning CT (pCT) and daily Cone-Beam CT (CBCT). To improve the image quality of the CBCT for accurate target delineation and do ... Full text Cite

MRI super-resolution via realistic downsampling with adversarial learning.

Journal Article Phys Med Biol · October 5, 2021 Many deep learning (DL) frameworks have demonstrated state-of-the-art performance in the super-resolution (SR) task of magnetic resonance imaging, but most performances have been achieved with simulated low-resolution (LR) images rather than LR images from ... Full text Link to item Cite

Fuzzy Clustering Based on Automated Feature Pattern-Driven Similarity Matrix Reduction

Journal Article IEEE Transactions on Computational Social Systems · October 1, 2021 Most of the medoid-based fuzzy clustering algorithms only use one similarity matrix to organize objects into groups. The similarity matrix is often constructed by equally employing all features which may ignore the contribution differences existing among t ... Full text Cite

Deep Learning-Based Computed Tomography Perfusion Mapping (DL-CTPM) for Pulmonary CT-to-Perfusion Translation.

Journal Article Int J Radiat Oncol Biol Phys · August 1, 2021 PURPOSE: Our purpose was to develop a deep learning-based computed tomography (CT) perfusion mapping (DL-CTPM) method that synthesizes lung perfusion images from CT images. METHODS AND MATERIALS: This paper presents a retrospective analysis of the pulmonar ... Full text Link to item Cite

A generative adversarial network (GAN)-based technique for synthesizing realistic respiratory motion in the extended cardiac-torso (XCAT) phantoms.

Journal Article Phys Med Biol · May 31, 2021 Objective. Synthesize realistic and controllable respiratory motions in the extended cardiac-torso (XCAT) phantoms by developing a generative adversarial network (GAN)-based deep learning technique.Methods. A motion generation model was developed using bic ... Full text Link to item Cite

A new approach to spare organs at risk for breast cancer radiotherapy-half field segmented VMAT delivery technique

Journal Article Chinese Journal of Radiological Medicine and Protection · May 25, 2021 Objective: To explore a new technology that can protect the lungs and heart better by utilizing the dose distribution attributes of the half-field and the characteristics of the VMAT (volumetric modulated arc therapy) technology. Methods: A three-dimension ... Full text Cite

Signal Enhancement of Low Magnetic Field Magnetic Resonance Image Using a Conventional- and Cyclic-Generative Adversarial Network Models With Unpaired Image Sets

Journal Article Frontiers in Oncology · May 11, 2021 In this study, the signal enhancement ratio of low-field magnetic resonance (MR) images was investigated using a deep learning-based algorithm. Unpaired image sets (0.06 Tesla and 1.5 Tesla MR images for different patients) were used in this study followin ... Full text Cite

Investigation of the effect of acquisition schemes on time-resolved magnetic resonance fingerprinting.

Journal Article Phys Med Biol · April 28, 2021 Purpose.This study aims to investigate the feasibility of different acquisition methods for time-resolved magnetic resonance fingerprinting (TR-MRF) in computer simulation.Methods.An extended cardiac-torso (XCAT) phantom is used to generate abdominal T1, T ... Full text Link to item Cite

Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for Functional Lung Avoidance Radiotherapy

Journal Article Frontiers in Oncology · March 24, 2021 Functional lung avoidance radiation therapy aims to minimize dose delivery to the normal lung tissue while favoring dose deposition in the defective lung tissue based on the regional function information. However, the clinical acquisition of pulmonary func ... Full text Cite

Radiation-induced lung damage in patients treated with stereotactic body radiotherapy after EGFR-TKIs: is there any difference from stereotactic body radiotherapy alone?

Journal Article Ann Palliat Med · March 2021 BACKGROUND: To quantitatively evaluate lung damage after treatment of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) and stereotactic body radiotherapy (SBRT) in patients with nonsmall cell lung cancer (NSCLC), and compare that of ... Full text Link to item Cite

Slice-stacking T2-weighted MRI for fast determination of internal target volume for liver tumor.

Journal Article Quant Imaging Med Surg · January 2021 BACKGROUND: To investigate the feasibility of generating maximum intensity projection (MIP) images to determine internal target volume (ITV) using slice-stacking MRI (SS-MRI) technique. METHODS: Slice-stacking is a technique which applies a multi-slice MRI ... Full text Link to item Cite

Study of Spinal Cord Substructure Expansion Margin in Esophageal Cancer.

Journal Article Technol Cancer Res Treat · 2021 PURPOSE: To analyze the setup errors and residual errors of different spinal cord parts in esophageal cancer patients and to explore the necessity of spinal cord segmental expansion. METHODS AND MATERIALS: Sixty cases of esophageal cancer were included wit ... Full text Link to item Cite

Time-resolved magnetic resonance fingerprinting for radiotherapy motion management.

Journal Article Med Phys · December 2020 PURPOSE: This study aims to develop a novel time-resolved magnetic resonance fingerprinting (TR-MRF) technique for respiratory motion imaging applications. MATERIALS AND METHODS: The TR-MRF technique consists of repeated MRF acquisitions using an unbalance ... Full text Link to item Cite

A review on 3D deformable image registration and its application in dose warping

Journal Article Radiation Medicine and Protection · December 1, 2020 Deformable image registration (DIR) has been well explored in recent decades, and it is widely utilized in clinical tasks, especially dose warping. Nowadays, as deep learning (DL) develops rapidly, many DL-based methods were also applied in DIR. This paper ... Full text Cite

A Review on Application of Deep Learning Algorithms in External Beam Radiotherapy Automated Treatment Planning

Journal Article Frontiers in Oncology · October 23, 2020 Treatment planning plays an important role in the process of radiotherapy (RT). The quality of the treatment plan directly and significantly affects patient treatment outcomes. In the past decades, technological advances in computer and software have promo ... Full text Cite

A modern review of the uncertainties in volumetric imaging of respiratory-induced target motion in lung radiotherapy.

Journal Article Med Phys · October 2020 Radiotherapy has become a critical component for the treatment of all stages and types of lung cancer, often times being the primary gateway to a cure. However, given that radiation can cause harmful side effects depending on how much surrounding healthy t ... Full text Link to item Cite

Editorial: Magnetic Resonance Imaging for Radiation Therapy

Journal Article Frontiers in Oncology · April 15, 2020 Full text Cite

Pseudo-CT generation from multi-parametric MRI using a novel multi-channel multi-path conditional generative adversarial network for nasopharyngeal carcinoma patients.

Journal Article Med Phys · April 2020 PURPOSE: To develop and evaluate a novel method for pseudo-CT generation from multi-parametric MR images using multi-channel multi-path generative adversarial network (MCMP-GAN). METHODS: Pre- and post-contrast T1-weighted (T1-w), T2-weighted (T2-w) MRI, a ... Full text Link to item Cite

Motion robust 4D-MRI sorting based on anatomic feature matching: A digital phantom simulation study.

Journal Article Radiat Med Prot · March 2020 PURPOSE: Motion artifacts induced by breathing variations are common in 4D-MRI images. This study aims to reduce the motion artifacts by developing a novel, robust 4D-MRI sorting method based on anatomic feature matching and applicable in both cine and seq ... Full text Link to item Cite

Volumetric cine magnetic resonance imaging (VC-MRI) using motion modeling, free-form deformation and multi-slice undersampled 2D cine MRI reconstructed with spatio-temporal low-rank decomposition.

Journal Article Quant Imaging Med Surg · February 2020 BACKGROUND: The purpose of this study is to improve on-board volumetric cine magnetic resonance imaging (VC-MRI) using multi-slice undersampled cine images reconstructed using spatio-temporal k-space data, patient prior 4D-MRI, motion modeling (MM) and fre ... Full text Link to item Cite

Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study.

Journal Article Front Artif Intell · 2020 Purpose: Artificial intelligence (AI) employs knowledge models that often behave as a black-box to the majority of users and are not designed to improve the skill level of users. In this study, we aim to demonstrate the feasibility that AI can serve as an ... Full text Link to item Cite

Liver 4D-MRI: An Image Mutual Information based Retrospective Self-sorting Method

Conference 2019 International Conference on Medical Imaging Physics and Engineering Icmipe 2019 · November 1, 2019 Four-dimensional MRI (4D-MRI) is an emerging technique for soft-tissue motion management in radiotherapy treatment planning. The purpose of this study was to develop a novel image mutual information (MI) based retrospective 4DMRI sorting method that is ful ... Full text Cite

Constructing Novel Prognostic Biomarkers of Advanced Nasopharyngeal Carcinoma from Multiparametric MRI Radiomics Using Ensemble-Model Based Iterative Feature Selection

Conference 2019 International Conference on Medical Imaging Physics and Engineering Icmipe 2019 · November 1, 2019 Although different treatment strategies have been developed for nasopharyngeal carcinoma (NPC), recurrence and distant metastasis remain major challenges to advanced NPC. This study aims to identify pre-treatment radiomics models to predict progression-fre ... Full text Cite

Pretreatment Prediction of Adaptive Radiation Therapy Eligibility Using MRI-Based Radiomics for Advanced Nasopharyngeal Carcinoma Patients

Journal Article Frontiers in Oncology · October 16, 2019 Background and purpose: Adaptive radiotherapy (ART) can compensate for the dosimetric impacts induced by anatomic and geometric variations in patients with nasopharyngeal carcinoma (NPC); Yet, the need for ART can only be assessed during the radiation trea ... Full text Cite

A robust deformable image registration enhancement method based on radial basis function.

Journal Article Quant Imaging Med Surg · July 2019 BACKGROUND: To develop and evaluate a robust deformable image registration (DIR) enhancement method based on radial basis function (RBF) expansion. METHODS: To improve DIR accuracy using sparsely available measured displacements, it is crucial to estimate ... Full text Open Access Link to item Cite

Probability-based 3D k-space sorting for motion robust 4D-MRI.

Journal Article Quant Imaging Med Surg · July 2019 BACKGROUND: Current 4D-MRI techniques are prone to breathing-variation-induced motion artifacts. This study developed a novel method for motion-robust multi-cycle 4D-MRI using probability-based multi-cycle sorting to overcome this deficiency. METHODS: The ... Full text Link to item Cite

A hybrid proton and hyperpolarized gas tagging MRI technique for lung respiratory motion imaging: a feasibility study.

Journal Article Phys Med Biol · May 16, 2019 The aim of this work was to develop a novel hybrid 3D hyperpolarized (HP) gas tagging MRI (t-MRI) technique and to evaluate it for lung respiratory motion measurement with comparison to deformable image registrations (DIR) methods. Three healthy subjects u ... Full text Link to item Cite

National survey of patient specific IMRT quality assurance in China.

Journal Article Radiat Oncol · April 25, 2019 BACKGROUND: To analyze and present the China's national survey on patient-specific IMRT quality assurance (QA). METHODS: A national survey was conducted in all radiotherapy centers in China to collect comprehensive information on status of IMRT QA practice ... Full text Link to item Cite

4D liver tumor localization using cone-beam projections and a biomechanical model.

Journal Article Radiother Oncol · April 2019 PURPOSE: To improve the accuracy of liver tumor localization, this study tests a biomechanical modeling-guided liver cone-beam CT (CBCT) estimation (Bio-CBCT-est) technique, which generates new CBCTs by deforming a prior high-quality CT or CBCT image using ... Full text Link to item Cite

A Spatiotemporal-Constrained Sorting Method for Motion-Robust 4D-MRI: A Feasibility Study.

Journal Article Int J Radiat Oncol Biol Phys · March 1, 2019 PURPOSE: To develop a spatiotemporal-constrained sorting technique for motion-robust 4 dimensional-magnetic resonance imaging. METHODS AND MATERIALS: This sorting method implemented 2 new approaches for 4-dimensional imaging: (1) an optimized sparse k-spac ... Full text Link to item Cite

The VAMPIRE challenge: A multi-institutional validation study of CT ventilation imaging.

Journal Article Med Phys · March 2019 PURPOSE: CT ventilation imaging (CTVI) is being used to achieve functional avoidance lung cancer radiation therapy in three clinical trials (NCT02528942, NCT02308709, NCT02843568). To address the need for common CTVI validation tools, we have built the Ven ... Full text Link to item Cite

Evaluation of dosimetric uncertainty caused by MR geometric distortion in MRI-based liver SBRT treatment planning.

Journal Article J Appl Clin Med Phys · February 2019 PURPOSE: MRI-based treatment planning is a promising technique for liver stereotactic-body radiation therapy (SBRT) treatment planning to improve target volume delineation and reduce radiation dose to normal tissues. MR geometric distortion, however, is a ... Full text Open Access Link to item Cite

Deriving lung perfusion directly from CT image using deep convolutional neural network: A preliminary study

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2019 Functional avoidance radiation therapy for lung cancer patients aims to limit dose delivery to highly functional lung. However, the clinical functional imaging suffers from many shortcomings, including the need of exogenous contrasts, longer processing tim ... Full text Cite

An initial investigation of hyperpolarized gas tagging magnetic resonance imaging in evaluating deformable image registration-based lung ventilation.

Journal Article Med Phys · December 2018 BACKGROUND: Deformable image registration (DIR)-based lung ventilation mapping is attractive due to its simplicity, and also challenging due to its susceptibility to errors and uncertainties. In this study, we explored the use of 3D Hyperpolarized (HP) gas ... Full text Link to item Cite

Spatial-temporal variability of radiomic features and its effect on the classification of lung cancer histology.

Journal Article Phys Med Biol · November 8, 2018 The purpose of this research was to study the sensitivity of Computed Tomography (CT) radiomic features to motion blurring and signal-to-noise ratios (SNR), and investigate its downstream effect regarding the classification of non-small cell lung cancer (N ... Full text Open Access Link to item Cite

A Novel method to generate on-board 4D MRI using prior 4D MRI and on-board kV projections from a conventional LINAC for target localization in liver SBRT.

Journal Article Med Phys · July 2018 PURPOSE: On-board MRI can provide superb soft tissue contrast for improving liver SBRT localization. However, the availability of on-board MRI in clinics is extremely limited. On the contrary, on-board kV imaging systems are widely available on radiotherap ... Full text Link to item Cite

Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond.

Journal Article IEEE Trans Med Imaging · March 2018 The four-dimensional (4-D) eXtended CArdiac-Torso (XCAT) series of phantoms was developed to provide accurate computerized models of the human anatomy and physiology. The XCAT series encompasses a vast population of phantoms of varying ages from newborn to ... Full text Link to item Cite

Efficacy and Safety of Low-Dose Iodine Plaque Brachytherapy for Juxtapapillary Choroidal Melanoma.

Journal Article Am J Ophthalmol · February 2018 PURPOSE: To evaluate low- vs high-dose plaque brachytherapy for juxtapapillary choroidal melanoma. DESIGN: Retrospective interventional case series. METHODS: Setting: Single institution. STUDY POPULATION: Forty-seven patients with juxtapapillary choroidal ... Full text Link to item Cite

Free-breathing abdominal MRI improved by repeated k-t-subsampling and artifact-minimization (ReKAM).

Journal Article Med Phys · January 2018 PURPOSE: We report an approach, termed Repeated k-t-subsampling and artifact-minimization (ReKAM), for removing motion artifacts in free-breathing abdominal MRI. The method is particularly valuable for challenging patients who may not hold their breath for ... Full text Link to item Cite

Accelerating volumetric cine MRI (VC-MRI) using undersampling for real-time 3D target localization/tracking in radiation therapy: a feasibility study.

Journal Article Phys Med Biol · December 14, 2017 PURPOSE: To accelerate volumetric cine MRI (VC-MRI) using undersampled 2D-cine MRI to provide real-time 3D guidance for gating/target tracking in radiotherapy. METHODS: 4D-MRI is acquired during patient simulation. One phase of the prior 4D-MRI is selected ... Full text Link to item Cite

Advances in imaging simulation for lung cancer IGRT

Chapter · September 18, 2017 This chapter focuses on advances in computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and other imaging methods in lung cancer applications, and discuss their potentials and limitations for use in clinical prac ... Cite

Uncertainties of IGRT for lung cancer

Chapter · September 18, 2017 Accurate dose delivery is critical to achieve an optimal risk/benefit profile. Complicating this, are many uncertainties present throughout the process of staging, treatment planning, and implementation. Treatment delivery accuracy is critical for lung can ... Cite

Principles and practice of image-guided radiation therapy of lung cancer

Book · September 18, 2017 This book gives a comprehensive overview on the use of image-guided radiation therapy (IGRT) in the treatment of lung cancer, covering step-by-step guidelines for clinical implementations, fundamental principles and key technical advances. It covers benefi ... Full text Cite

Preface

Journal Article Principles and Practice of Image Guided Radiation Therapy of Lung Cancer · September 18, 2017 Cite

Retrospective four-dimensional magnetic resonance imaging with image-based respiratory surrogate: a sagittal-coronal-diaphragm point of intersection motion tracking method.

Journal Article J Med Imaging (Bellingham) · April 2017 A four-dimensional magnetic resonance imaging (4-D-MRI) technique with Sagittal-Coronal-Diaphragm Point-of-Intersection (SCD-PoI) as a respiratory surrogate is proposed. To develop an image-based respiratory surrogate, the SCD-PoI motion tracking method is ... Full text Link to item Cite

Four-dimensional diffusion-weighted MR imaging (4D-DWI): a feasibility study.

Journal Article Med Phys · February 2017 PURPOSE: Diffusion-weighted Magnetic Resonance Imaging (DWI) has been shown to be a powerful tool for cancer detection with high tumor-to-tissue contrast. This study aims to investigate the feasibility of developing a four-dimensional DWI technique (4D-DWI ... Full text Link to item Cite

Impact of moving target on measurement accuracy in 3D and 4D PET imaging-a phantom study.

Journal Article Adv Radiat Oncol · 2017 PURPOSE: The purpose of this study was to evaluate the impact of tumor motion on maximum standardized uptake value (SUVmax) and metabolic tumor volume (MTV) measurements in both 3-dimensional and respiratory-correlated, 4-dimensional positron emission tomo ... Full text Link to item Cite

A probability-based multi-cycle sorting method for 4D-MRI: A simulation study.

Journal Article Med Phys · December 2016 PURPOSE: To develop a novel probability-based sorting method capable of generating multiple breathing cycles of 4D-MRI images and to evaluate performance of this new method by comparing with conventional phase-based methods in terms of image quality and tu ... Full text Link to item Cite

A Technique for Generating Volumetric Cine-Magnetic Resonance Imaging.

Journal Article Int J Radiat Oncol Biol Phys · June 1, 2016 PURPOSE: The purpose of this study was to develop a techique to generate on-board volumetric cine-magnetic resonance imaging (VC-MRI) using patient prior images, motion modeling, and on-board 2-dimensional cine MRI. METHODS AND MATERIALS: One phase of a 4- ... Full text Link to item Cite

Vaginal Dose Is Associated With Toxicity in Image Guided Tandem Ring or Ovoid-Based Brachytherapy.

Journal Article Int J Radiat Oncol Biol Phys · April 1, 2016 PURPOSE: To calculate vaginal doses during image guided brachytherapy with volume-based metrics and correlate with long-term vaginal toxicity. METHODS AND MATERIALS: In this institutional review board-approved study, institutional databases were searched t ... Full text Link to item Cite

Accuracy of respiratory motion measurement of 4D-MRI: A comparison between cine and sequential acquisition.

Journal Article Med Phys · January 2016 PURPOSE: The authors have recently developed a cine-mode T2*/T1-weighted 4D-MRI technique and a sequential-mode T2-weighted 4D-MRI technique for imaging respiratory motion. This study aims at investigating which 4D-MRI image acquisition mode, cine or seque ... Full text Link to item Cite

T2-weighted four dimensional magnetic resonance imaging with result-driven phase sorting.

Journal Article Med Phys · August 2015 PURPOSE: T2-weighted MRI provides excellent tumor-to-tissue contrast for target volume delineation in radiation therapy treatment planning. This study aims at developing a novel T2-weighted retrospective four dimensional magnetic resonance imaging (4D-MRI) ... Full text Link to item Cite

Four dimensional magnetic resonance imaging with retrospective k-space reordering: a feasibility study.

Journal Article Med Phys · February 2015 PURPOSE: Current four dimensional magnetic resonance imaging (4D-MRI) techniques lack sufficient temporal/spatial resolution and consistent tumor contrast. To overcome these limitations, this study presents the development and initial evaluation of a new s ... Full text Link to item Cite

Is diaphragm motion a good surrogate for liver tumor motion?

Journal Article Int J Radiat Oncol Biol Phys · November 15, 2014 PURPOSE: To evaluate the relationship between liver tumor motion and diaphragm motion. METHODS AND MATERIALS: Fourteen patients with hepatocellular carcinoma (10 of 14) or liver metastases (4 of 14) undergoing radiation therapy were included in this study. ... Full text Link to item Cite

Methods, safety, and early clinical outcomes of dose escalation using simultaneous integrated and sequential boosts in patients with locally advanced gynecologic malignancies.

Journal Article Gynecol Oncol · November 2014 OBJECTIVE: To evaluate the safety of dose escalated radiotherapy using a simultaneous integrated boost technique in patients with locally advanced gynecological malignancies. METHODS: Thirty-nine women with locally advanced gynecological malignancies were ... Full text Link to item Cite

Investigation of sagittal image acquisition for 4D-MRI with body area as respiratory surrogate.

Journal Article Med Phys · October 2014 PURPOSE: The authors have recently developed a novel 4D-MRI technique for imaging organ respiratory motion employing cine acquisition in the axial plane and using body area (BA) as a respiratory surrogate. A potential disadvantage associated with axial ima ... Full text Link to item Cite

An adaptive finite element method to cope with a large scale lung deformation in magnetic resonance images

Conference 2014 IEEE 11th International Symposium on Biomedical Imaging Isbi 2014 · July 29, 2014 The purpose of this study is to present an adaptive deformable image registration method to improve the performance of a multi-resolution "demons" registration algorithm in handling large scale lung deformation observed in 4D-MR images. Specifically, a fin ... Full text Cite

Uveal melanoma treated with iodine-125 episcleral plaque: an analysis of dose on disease control and visual outcomes.

Journal Article Int J Radiat Oncol Biol Phys · May 1, 2014 PURPOSE: To investigate, in the treatment of uveal melanomas, how tumor control, radiation toxicity, and visual outcomes are affected by the radiation dose at the tumor apex. METHODS AND MATERIALS: A retrospective review was performed to evaluate patients ... Full text Link to item Cite

Four-dimensional magnetic resonance imaging using axial body area as respiratory surrogate: initial patient results.

Journal Article Int J Radiat Oncol Biol Phys · March 15, 2014 PURPOSE: To evaluate the feasibility of a retrospective binning technique for 4-dimensional magnetic resonance imaging (4D-MRI) using body area (BA) as a respiratory surrogate. METHODS AND MATERIALS: Seven patients with hepatocellular carcinoma (4 of 7) or ... Full text Link to item Cite

Evaluating radiation-induced white matter changes in patients treated with stereotactic radiosurgery using diffusion tensor imaging: a pilot study.

Journal Article Technol Cancer Res Treat · February 2014 Stereotactic radiosurgery (SRS) has been an effective treatment method for brain tumors; however, few data are available regarding radiation-induced white matter (WM) damage by SRS. In this work, diffusion tensor imaging (DTI) was used to investigate WM ch ... Full text Link to item Cite

Body mass index, dose to organs at risk during vaginal brachytherapy, and the role of three-dimensional CT-based treatment planning.

Journal Article Brachytherapy · 2014 PURPOSE: To assess the effect of body mass index (BMI) on dose to organs at risk (OARs) during high-dose-rate vaginal brachytherapy and evaluate the role of three-dimensional dose evaluation during treatment planning. METHODS AND MATERIALS: Three-dimension ... Full text Link to item Cite

Dosimetric effects of rotational offsets in stereotactic body radiation therapy (SBRT) for lung cancer.

Journal Article Med Dosim · 2014 To quantitatively evaluate dosimetric effects of rotational offsets in stereotactic body radiation therapy (SBRT) for lung cancer. Overall, 11 lung SBRT patients (8 female and 3 male; mean age: 75.0 years) with medially located tumors were included. Treatm ... Full text Link to item Cite

Uncertainties of 4-dimensional computed tomography-based tumor motion measurement for lung stereotactic body radiation therapy.

Journal Article Pract Radiat Oncol · 2014 PURPOSE: To evaluate how well tumor motion measured prior to treatment based on 4-dimensional computer tomography (4DCT) reflects actual tumor motion during beam-on throughout the course of treatment. METHODS AND MATERIALS: Twenty-three patients who had lu ... Full text Link to item Cite

Evaluation of the effect of respiratory and anatomical variables on a Fourier technique for markerless, self-sorted 4D-CBCT.

Journal Article Phys Med Biol · October 21, 2013 A novel technique based on Fourier transform theory has been developed that directly extracts respiratory information from projections without the use of external surrogates. While the feasibility has been demonstrated with three patients, a more extensive ... Full text Link to item Cite

Adaptive stereotactic body radiation therapy planning for lung cancer.

Journal Article Int J Radiat Oncol Biol Phys · September 1, 2013 PURPOSE: To investigate the dosimetric effects of adaptive planning on lung stereotactic body radiation therapy (SBRT). METHODS AND MATERIALS: Forty of 66 consecutive lung SBRT patients were selected for a retrospective adaptive planning study. CBCT images ... Full text Link to item Cite

In reply to Kumar et al.

Journal Article Int J Radiat Oncol Biol Phys · September 1, 2013 Full text Link to item Cite

TH-D-108-01: Implementing MR-Guided Adaptive Brachytherapy for Cervical Cancer.

Journal Article Med Phys · June 2013 Image-guidance plays an important role in modern radiation therapy, predominantly in external beam planning and delivery. In recent years, with the advent of high/pulsed dose rate afterloading technology, advanced treatment planning systems, and CT and MRI ... Full text Link to item Cite

TU-G-134-01: 4D-MRI Using Body Area as Internal Respiratory Surrogate: Initial Patient Results.

Journal Article Med Phys · June 2013 PURPOSE: We have previously developed a novel 4D-MRI technique using body area (BA) as internal respiratory surrogate. This study is to demonstrate our initial patient results via validating the accuracy of tumor motion measurements and the improvement of ... Full text Link to item Cite

TH-C-141-07: T2-Weighted 4D-MRI with Combined Phase and Amplitude Sorting.

Journal Article Med Phys · June 2013 PURPOSE: T2-weighted MR provides excellent delineation of malignant liver lesions due to its superior tumor-to-tissue contrast. This study aims to develop a novel T2-weighted retrospective 4D-MRI technique for imaging organ/tumor respiratory motion with im ... Full text Link to item Cite

WE-C-116-07: Tumor Enhancement Using Deformable Image Registration for Four-Dimensional Magnetic Resonance Imaging (4D-MRI): A Feasibility Study.

Journal Article Med Phys · June 2013 PURPOSE: We have previously developed a 4D-MRI technique using the fast imaging sequence employing steady-state acquisition (FIESTA) sequence, which has suboptimal tumor-to-tissue contrast-to-noise ratio (CNR) due to its T2*/T1 weighting. This study invest ... Full text Link to item Cite

WE-A-500-01: Quality Control of Lung SBRT: Minimizing Uncertainties From Simulation to Treatment.

Journal Article Med Phys · June 2013 Stringent quality control is critical to the success of lung SBRT. However, uncertainties exist in each step of the lung SBRT procedure. Characterization of organ motion using 4DCT may not present true tumor motion excursion due to its low temporal resolut ... Full text Link to item Cite

MO-F-WAB-11: Investigation of CBCT-Based Patient Positioning Accuracy in Lung SBRT: Correlation with Breathing Irregularity.

Conference Med Phys · June 2013 PURPOSE: To evaluate breathing irregularity induced error in CBCT-based patient positioning in lung SBRT and correlate the error with a measure of breathing variability. METHODS: The 4D extended cardiac-torso (XCAT) digital phantom was used to generate 10- ... Full text Link to item Cite

Quantification and minimization of uncertainties of internal target volume for stereotactic body radiation therapy of lung cancer.

Journal Article Int J Radiat Oncol Biol Phys · February 1, 2013 PURPOSE: To quantify uncertainties in delineating an internal target volume (ITV) and to understand how these uncertainties may be individually minimized for stereotactic body radiation therapy (SBRT) of early stage non-small cell lung cancer (NSCLC). METH ... Full text Link to item Cite

Investigation of sliced body volume (SBV) as respiratory surrogate.

Journal Article J Appl Clin Med Phys · January 7, 2013 The purpose of this study was to evaluate the sliced body volume (SBV) as a respiratory surrogate by comparing with the real-time position management (RPM) in phantom and patient cases. Using the SBV surrogate, breathing signals were extracted from unsorte ... Full text Open Access Link to item Cite

SU‐E‐J‐88: Dose Summation Between Multimodality Treatments for Cervical Cancer

Journal Article Medical Physics · January 1, 2013 Purpose: 1) To explore the feasibility of volumetric dose summation between external beam radiation (EBRT) and high dose rate (HDR) brachytherapy treatments for cervical cancer, and 2) to investigate the differences between two deformable registration plat ... Full text Cite

TU‐C‐500‐01: Evaluating Benefits and Challenges of Multi‐Modality Co‐Registration

Conference Medical Physics · January 1, 2013 Multi‐imaging modalities has afforded tremendous treatment planning opportunities to better define and delineate tumor volumes, and effectively apply highly conformal targeted therapy techniques such as IMRT and SBRT. With 4D CT imaging providing motion sp ... Full text Cite

SU‐E‐T‐474: Adaptive Stereotactic Body Radiation Therapy (SBRT) Planning for Lung Cancer: Can We Predict Who Will Benefit?

Conference Medical Physics · January 1, 2013 Purpose: We have previously shown that adaptive lung SBRT planning can mitigate dose to adjacent organs at risk (OARs). The aim of this study is to investigate factors that affect dosimetric effectiveness of adaptive lung SBRT, so that we may predict which ... Full text Cite

TU‐C‐141‐08: Evaluate Deformable Image Registration for the Lungs Using Hyperpolarized Gas Tagging MRI

Conference Medical Physics · January 1, 2013 Purpose: To evaluate deformable image registration for the lungs using hyperpolarized gas MR tagging technique.Method and Materials: A 3D MR grid‐tagging technique using hyperpolarized helium‐3 (HP‐He3) as gaseous contrast was developed for direct measurem ... Full text Cite

Implementation of remote 3-dimensional image guided radiation therapy quality assurance for radiation therapy oncology group clinical trials.

Journal Article Int J Radiat Oncol Biol Phys · January 1, 2013 PURPOSE: To report the process and initial experience of remote credentialing of three-dimensional (3D) image guided radiation therapy (IGRT) as part of the quality assurance (QA) of submitted data for Radiation Therapy Oncology Group (RTOG) clinical trial ... Full text Link to item Cite

Investigation of sliced body volume (SBV) as respiratory surrogate

Journal Article Journal of Applied Clinical Medical Physics · January 1, 2013 The purpose of this study was to evaluate the sliced body volume (SBV) as a respiratory surrogate by comparing with the real-time position management (RPM) in phantom and patient cases. Using the SBV surrogate, breathing signals were extracted from unsorte ... Full text Cite

Reproducibility of tumor motion probability distribution function in stereotactic body radiation therapy of lung cancer.

Journal Article Int J Radiat Oncol Biol Phys · November 1, 2012 Featured Publication PURPOSE: To evaluate the reproducibility of tumor motion probability distribution function (PDF) in stereotactic body radiation therapy (SBRT) of lung cancer using cine megavoltage (MV) images. METHODS AND MATERIALS: Cine MV images of 20 patients acquired ... Full text Link to item Cite

Dosimetric Evaluation of Flattening Filter-free (FFF) Photon Beams for Lung SBRT

Conference International Journal of Radiation Oncology*Biology*Physics · November 2012 Full text Cite

Multicatheter Vaginal Balloon Brachytherapy: One Year's Clinical Experience

Conference International Journal of Radiation Oncology*Biology*Physics · November 2012 Full text Cite

Impact of Patient Anatomy Variations on a Fourier Technique for Markerless 4D-CBCT

Conference International Journal of Radiation Oncology*Biology*Physics · November 2012 Full text Cite

Urinary Catheterization Increases the Dose to Bowel During Vaginal Brachytherapy

Conference International Journal of Radiation Oncology*Biology*Physics · November 2012 Full text Cite

Imaging system QA of a medical accelerator, Novalis Tx, for IGRT per TG 142: our 1 year experience.

Journal Article J Appl Clin Med Phys · July 5, 2012 American Association of Physicists in Medicine (AAPM) task group (TG) 142 has recently published a report to update recommendations of the AAPM TG 40 report and add new recommendations concerning medical accelerators in the era of image-guided radiation th ... Full text Open Access Link to item Cite

Commissioning a CT-compatible LDR tandem and ovoid applicator using Monte Carlo calculation and 3D dosimetry.

Journal Article Med Phys · July 2012 PURPOSE: To determine the geometric and dose attenuation characteristics of a new commercially available CT-compatible LDR tandem and ovoid (T&O) applicator using Monte Carlo calculation and 3D dosimetry. METHODS: For geometric characterization, we quantif ... Full text Link to item Cite

SU-E-J-209: A Simple Method to Minimize Uncertainty in ITV Delineation: Phantom Verification.

Journal Article Med Phys · June 2012 PURPOSE: Irregular breathing causes variation in delineation of internal target volume (ITV), which is typically generated in the maximum intensity projection (MIP) images [1]. Previous studies have shown that MIP-based ITV can underestimate true tumor ran ... Full text Link to item Cite

SU-E-J-145: Implementing 4D XCAT Phantom for 4D Radiotherapy Research.

Journal Article Med Phys · June 2012 PURPOSE: To characterize and implement the 4D Integrated Extended Cardiac Torso (XCAT) digital phantom for 4D radiotherapy (RT) application. METHODS: A computer program was developed to facilitate the characterization and implementation of the 4D XCAT phan ... Full text Link to item Cite

TU-E-BRB-04: Adaptive Stereotactic-Body Radiation Therapy (SBRT) Planning for Lung Cancer.

Journal Article Med Phys · June 2012 PURPOSE: Tumor shrinkage during lung SBRT has been reported. Adaptive SBRT planning can potentially escalate dose to the target and mitigate dose to surrounding tissues. In this study, we investigated dosimetric effects of adaptive lung SBRT planning using ... Full text Link to item Cite

TU-E-213CD-01: Image Guided Adaptive Brachytherapy for Cervical Cancer.

Journal Article Med Phys · June 2012 UNLABELLED: Image-guidance plays an important role in modern radiation therapy, predominantly in external beam planning and delivery. In contrast, brachytherapy is still largely based on systems originally developed in the early 20th century. In recent yea ... Full text Link to item Cite

MO-A-213AB-04: Verification of 4D Dose Delivery Using 4D Digital Human Phantom.

Journal Article Med Phys · June 2012 PURPOSE: At present, techniques of 4D dose verification in radiation therapy for lung cancers associated with respiratory motion are very limited, due to either lack of patient anatomy or breathing information. The aim of this study is to develop a 4D dose ... Full text Link to item Cite

SU-D-213AB-05: Commissioning a CT Compatible LDR T&O Applicator Using Analytical Calculation with ID and 3D Dosimetry.

Journal Article Med Phys · June 2012 PURPOSE: To determine the characteristics of a new commercially available CT-compatible LDR Tandem and Ovoid (T&O) applicator using 3D dosimetry. METHODS: We characterized source attenuation through the asymmetric gold shielding in the buckets by measuring ... Full text Link to item Cite

SU-D-218-02: 4D-MRI Based on Body Area (BA) Surrogate and Sagittal Image Acquisition.

Journal Article Med Phys · June 2012 PURPOSE: 4D-MRI based on body area (BA) surrogate using axial image acquisition has been demonstrated. Since respiratory motion mostly occurs in the superior-inferior (SI) direction, it is expected that sagittal acquisition may provide more robust and accu ... Full text Link to item Cite

Dosimetric comparison of treatment plans based on free breathing, maximum, and average intensity projection CTs for lung cancer SBRT.

Journal Article Med Phys · May 2012 PURPOSE: To determine whether there is a CT dataset may be more favorable for planning and dose calculation by comparing dosimetric characteristics between treatment plans calculated using free breathing (FB), maximum and average intensity projection (MIP ... Full text Link to item Cite

A novel technique for markerless, self-sorted 4D-CBCT: feasibility study.

Journal Article Med Phys · March 2012 Featured Publication PURPOSE: Four-dimensional CBCT (4D-CBCT) imaging in the treatment room can provide verification of moving targets, facilitating the potential for margin reduction and consequent dose escalation. Reconstruction of 4D-CBCT images requires correlation of resp ... Full text Link to item Cite

Lipiodol: a potential direct surrogate for cone-beam computed tomography image guidance in radiotherapy of liver tumor.

Journal Article Int J Radiat Oncol Biol Phys · February 1, 2012 PURPOSE: To investigate the feasibility of using lipiodol as a direct surrogate for target localization using cone-beam CT (CBCT) image guidance in radiotherapy (RT) of patients with unresectable liver tumors after transarterial chemoembolization. METHODS ... Full text Link to item Cite

Imaging system QA of a medical accelerator, Novalis Tx, for IGRT per TG 142: Our 1 year experience

Journal Article Journal of Applied Clinical Medical Physics · January 1, 2012 American Association of Physicists in Medicine (AAPM) task group (TG) 142 has recently published a report to update recommendations of the AAPM TG 40 report and add new recommendations concerning medical accelerators in the era of image-guided radiation th ... Full text Cite

Establishing a framework to implement 4D XCAT phantom for 4D radiotherapy research.

Journal Article J Cancer Res Ther · 2012 AIMS: To establish a framework to implement the 4D integrated extended cardiac torso (XCAT) digital phantom for 4D radiotherapy (RT) research. MATERIALS AND METHODS: A computer program was developed to facilitate the characterization and implementation of ... Full text Link to item Cite

Four-dimensional magnetic resonance imaging (4D-MRI) using image-based respiratory surrogate: a feasibility study.

Journal Article Med Phys · December 2011 Featured Publication PURPOSE: Four-dimensional computed tomography (4D-CT) has been widely used in radiation therapy to assess patient-specific breathing motion for determining individual safety margins. However, it has two major drawbacks: low soft-tissue contrast and an exce ... Full text Link to item Cite

An Improved Method for Delineating Individualized ITV for SBRT of Lung Cancer

Journal Article International Journal of Radiation Oncology*Biology*Physics · October 2011 Full text Cite

Fourier Transform (FT) Techniques for Markerless 4D Cone-beam CT (4D-CBCT) Sorting: Comparison between Phase vs. Magnitude

Journal Article International Journal of Radiation Oncology*Biology*Physics · October 2011 Full text Cite

Correlation between External Surrogate Motion and Lung Tumor Motion: From a Statistical Point of View

Journal Article International Journal of Radiation Oncology*Biology*Physics · October 2011 Full text Cite

Imaging Tumor Motion using 4D-MRI

Journal Article International Journal of Radiation Oncology*Biology*Physics · October 2011 Full text Cite

Evaluation of integrated respiratory gating systems on a Novalis Tx system.

Journal Article J Appl Clin Med Phys · April 4, 2011 The purpose of this study was to investigate the accuracy of motion tracking and radiation delivery control of integrated gating systems on a Novalis Tx system. The study was performed on a Novalis Tx system, which is equipped with Varian Real-time Positio ... Full text Open Access Link to item Cite

TU‐E‐BRC‐08: Investigation of Anatomical Surrogate for 4DCT Imaging

Conference Medical Physics · January 1, 2011 Purpose: Respiratory signal for 4DCT is typically extracted using an external respiratory positioning management device (RPM) which is often inconvenient and time consuming. The efficiency of 4DCT imaging could be substantially improved if anatomical body ... Full text Cite

SU‐E‐I‐29: A Prior Information Based Total‐Variation Digital Tomosynthesis Reconstruction Algorithm

Conference Medical Physics · January 1, 2011 Purpose: To develop a total‐variation (TV) based compressive sensing image reconstruction algorithm using a set of limited‐angle projections by applying a prior image information to enhance the image quality and anatomic information of current Four‐d ... Full text Cite

MO‐D‐214‐01: 4D‐MRI for Radiation Therapy of Moving Tumors

Conference Medical Physics · January 1, 2011 Four‐dimensional computed tomography (4D‐CT) has been widely used in radiation therapy for imaging moving tumors, especially in the thoracic regions. In other body sites such as the abdominal, 4D‐CT is limited due to its intrinsic low soft‐tissue contrast. ... Full text Cite

MO‐D‐BRB‐03: Investigation of the Reproducibility of Probability Distribution function (PDF) of Tumor Motion in Lung Stereotactic Body Radiation Therapy (SBRT)

Conference Medical Physics · January 1, 2011 Purpose: To investigate the reproducibility of probability distribution function (PDF) of lung tumor motion using cine‐MV images from lung SBRT treatments. Findings of the study will provide valuable information for probability‐based treatment planning. Me ... Full text Cite

SU‐E‐T‐123: Evaluation of Integrated Gating Systems on a Novalis Tx System Using Quantitative Motion Tracking Analyses and Efficient Time‐Delay Measurements

Conference Medical Physics · January 1, 2011 Purpose: To investigate accuracy of motion tracking and radiation delivery controlling of integrated gating systems on a Novalis Tx system. Methods: The study was performed on a Novalis Tx system, which is equipped with Varian RPM and BrainLAB ExacTrac gat ... Full text Cite

SU‐F‐BRA‐10: A Novel Technique for Markerless Self‐Sorted 4D‐CBCT

Conference Medical Physics · January 1, 2011 Purpose: Four‐dimensional (4D) imaging in the radiotherapy treatment room can provide verification of moving targets, which allows for potential reduction of margins and consequent dose escalation. 4D‐CBCT acquisition requires correlation between projectio ... Full text Cite

Dosimetric comparison of 6 MV and 15 MV single arc rapidarc to helical TomoTherapy for the treatment of pancreatic cancer.

Journal Article Med Dosim · 2011 We conducted a planning study to compare Varian's RapidArc (RA) and helical TomoTherapy (HT) for the treatment of pancreatic cancer. Three intensity-modulated radiotherapy (IMRT) plans were generated for 8 patients with pancreatic cancer: one using HT with ... Full text Link to item Cite

Helical tomotherapy planning for lung cancer based on ventilation magnetic resonance imaging.

Journal Article Med Dosim · 2011 To investigate the feasibility of lung ventilation-based treatment planning, computed tomography and hyperpolarized (HP) helium-3 (He-3) magnetic resonance imaging (MRI) ventilation images of 6 subjects were coregistered for intensity-modulated radiation t ... Full text Link to item Cite

Evaluation of integrated respiratory gating systems on a Novalis Tx system

Journal Article Journal of Applied Clinical Medical Physics · January 1, 2011 The purpose of this study was to investigate the accuracy of motion tracking and radiation delivery control of integrated gating systems on a Novalis Tx system. The study was performed on a Novalis Tx system, which is equipped with Varian Real-time Positio ... Full text Cite

Maximum intensity projection (MIP) imaging using slice-stacking MRIa).

Journal Article Med Phys · November 2010 Featured Publication PURPOSE: To evaluate the feasibility of acquiring maximum intensity projection (MIP) images using a novel slice-stacking MRI (SS-MRI) technique. METHODS: The proposed technique employed a steady state acquisition sequence to image multiple axial slices. At ... Full text Link to item Cite

Extracting Breathing Signal from Image Fourier Transform for Developing 4D-MRI

Conference International Journal of Radiation Oncology*Biology*Physics · November 2010 Full text Cite

Effects of breathing variation on gating window internal target volume in respiratory gated radiation therapya).

Journal Article Med Phys · August 2010 Featured Publication PURPOSE: To investigate the effects of breathing variation on gating window internal target volume(ITVGW) in respiratory gated radiation therapy. METHOD AND MATERIALS: Two-dimensional dynamic MRI (dMRI) of lung motion was acquired in ten volunteers and eig ... Full text Link to item Cite

Pulmonary kinematics from tagged hyperpolarized helium-3 MRI.

Journal Article J Magn Reson Imaging · May 2010 PURPOSE: To propose and test the feasibility of a novel method for quantifying 3D regional pulmonary kinematics from hyperpolarized helium-3 tagged MRI in human subjects using a tailored image processing pipeline and a recently developed nonrigid registrat ... Full text Link to item Cite

Chest wall volume receiving >30 Gy predicts risk of severe pain and/or rib fracture after lung stereotactic body radiotherapy.

Journal Article Int J Radiat Oncol Biol Phys · March 1, 2010 PURPOSE: To identify the dose-volume parameters that predict the risk of chest wall (CW) pain and/or rib fracture after lung stereotactic body radiotherapy. METHODS AND MATERIALS: From a combined, larger multi-institution experience, 60 consecutive patient ... Full text Link to item Cite

SU‐GG‐I‐140: Maximum Intensity Projection (MIP) Imaging Using Multi‐Slice Cine MRI

Conference Medical Physics · January 1, 2010 Purpose: To propose a novel method of acquiring Maximum Intensity Projection (MIP) images using multi‐slice cine MRI, termed as MRI‐MIP, and to evaluate its feasibility in quantifying motion magnitude. Materials and Methods: MRI‐MIP images are acquired usi ... Full text Cite

SU‐GG‐T‐530: Comparison of Coplanar and Non‐Coplanar Intensity Modulated Arc Techniques for Treatment of Intracranial Multi‐Focal Stereotactic Radiosurgery

Conference Medical Physics · January 1, 2010 Objectives: Intensity modulated arc therapy (IMAT) can potentially be a useful technique for the treatment of multi‐focal intracranial stereotactic radiosurgery (SRS) with a single isocenter setup. This study compares the effects of coplanar and non‐coplan ... Full text Cite

SU‐GG‐J‐67: Evaluating Dynamic Magnetic Resonance Imaging Using a New Design of Phantom: Validation with Fast Megavoltage Fluoroscopic Imaging

Conference Medical Physics · January 1, 2010 Purpose: To devlope a reliable and economic phantom for motion management study and investigate its feasibility in evaluating dynamic MRI. Method and Materials: Experiments was performed using an in‐house developed phantom that consists of a platform, a lo ... Full text Cite

TU‐B‐201B‐02: Self‐Sorted Four‐Dimensional CT Using Body Volume as Respiratory Surrogate

Conference Medical Physics · January 1, 2010 Purpose: To develop a self‐sorting four‐dimensional CT (4D‐CT) technique that uses body volume as the respiratory surrogate. Method and Materials: Respiratory signals are determined by the changes in body volume at each slice location as a function of imag ... Full text Cite

SU‐GG‐I‐148: Self‐Sorted Four‐Dimensional Magnetic Resonance Imaging: A Feasibility Study

Conference Medical Physics · January 1, 2010 Purpose: Considerable imaging dose to health tissue of patient from 4D‐CT is often a concern. This study is to develop a four‐dimensional magnetic resonance imaging (4D‐MRI) technique based on retrospective sorting strategy that uses body volume as respira ... Full text Cite

Stereotactic body radiation therapy

Chapter · January 1, 2010 Patient-specific quality assurance is a critical component in the overall quality control of radiation treatment because it provides assurance that the delivered dose will accurately match the planned dose distribution. In particular, it is important to ve ... Full text Cite

Dosimetry challenges for implementing emerging technologies.

Journal Article J Phys Conf Ser · 2010 During the last 10 years, radiation therapy technologies have gone through major changes, mainly related introduction of sophisticated delivery and imaging techniques to improve the target localization accuracy and dose conformity. While implementation of ... Full text Link to item Cite

SRT and SBRT: Current practices for QA dosimetry and 3D

Journal Article Journal of Physics Conference Series · January 1, 2010 The major feature that separates stereotactic radiation therapy (cranial SRT) and stereotactic body radiation therapy (SBRT) from conventional radiation treatment is the delivery of large doses in a few fractions which results in a high biological effectiv ... Full text Cite

A short-breath-hold technique for lung pO2 mapping with 3He MRI.

Journal Article Magn Reson Med · January 2010 A pulse-sequence strategy was developed for generating regional maps of alveolar oxygen partial pressure (pO2) in a single 6-sec breath hold, for use in human subjects with impaired lung function. Like previously described methods, pO2 values are obtained ... Full text Link to item Cite

Dynamic MRI of grid-tagged hyperpolarized helium-3 for the assessment of lung motion during breathing.

Journal Article Int J Radiat Oncol Biol Phys · September 1, 2009 Featured Publication PURPOSE: To develop a dynamic magnetic resonance imaging (MRI) tagging technique using hyperpolarized helium-3 (HP He-3) to track lung motion. METHODS AND MATERIALS: An accelerated non-Cartesian k-space trajectory was used to gain acquisition speed, at the ... Full text Link to item Cite

Tracking brain motion during the cardiac cycle using spiral cine-DENSE MRI.

Journal Article Med Phys · August 2009 Featured Publication Cardiac-synchronized brain motion is well documented, but the accurate measurement of such motion on the pixel-by-pixel basis has been hampered by the lack of proper imaging technique. In this article, the authors present the implementation of an autotrack ... Full text Link to item Cite

A rabbit irradiation platform for outcome assessment of lung stereotactic radiosurgery.

Journal Article Int J Radiat Oncol Biol Phys · April 1, 2009 Featured Publication PURPOSE: To evaluate a helical tomotherapy-based rodent radiosurgery platform that reproduces human image-guided radiosurgery treatment to study radiobiologic effects of stereotactic radiosurgery on lung tissues using functional magnetic resonance imaging ... Full text Link to item Cite

TH‐C‐BRC‐02: Lung Injury From Stereotactic Radiosurgery and Efficacy of Amifostine: A Small Animal Study On Helical TomoTherapy

Conference Medical Physics · January 1, 2009 Purpose: To evaluate a Helical TomoTherapy‐based rodent radiosurgery platform that reproduces human image guided radiosurgery treatment and to study radiobiologic effects of stereotactic radiosurgery on lung tissues, with or without Amifostine, a radioprot ... Full text Cite

SU‐FF‐J‐24: Functional Planning for Tomotherapy‐Based Stereotactic Body Radiotherapy (SBRT) for Peripheral Lung Tumors

Conference Medical Physics · January 1, 2009 Purpose: To investigate the impact of incorporating hyperpolarized heliume‐3 (HP He‐3) MRI ventilation images to Tomotherapy‐based stereotactic body radiation therapy (SBRT) planning for peripheral lung tumors. Method and Materials: CT and HP He‐3 MRI vent ... Full text Cite

Reproducibility of interfraction lung motion probability distribution function using dynamic MRI: statistical analysis.

Journal Article Int J Radiat Oncol Biol Phys · November 15, 2008 Featured Publication PURPOSE: To investigate the statistical reproducibility of craniocaudal probability distribution function (PDF) of interfraction lung motion using dynamic magnetic resonance imaging. METHODS AND MATERIALS: A total of 17 subjects, 9 healthy volunteers and 8 ... Full text Link to item Cite

The effect of respiratory motion variability and tumor size on the accuracy of average intensity projection from four-dimensional computed tomography: an investigation based on dynamic MRI.

Journal Article Med Phys · November 2008 Featured Publication Composite images such as average intensity projection (AIP) and maximum intensity projection (MIP) derived from four-dimensional computed tomography (4D-CT) images are commonly used in radiation therapy for treating lung and abdominal tumors. It has been r ... Full text Link to item Cite

Imaging the lung in radiotherapy: Where 4D meets multimodality

Journal Article Imaging Decisions MRI · March 1, 2008 The increasing research and clinical interest in the intrafractional motion management of lung tumour radiation treatment is in part fuelled by the availability of multiple 4D modalities that resolve temporal information of the tumour motion. These improve ... Full text Cite

TH‐C‐AUD C‐01: Lung Mechanical Modeling Based On the 3He MR Tagging and Lobar Segmentation

Conference Medical Physics · January 1, 2008 Purpose: Direct measurements of the lung deformation by [formula omitted] MR tagging during breathing motion revealed that the deformation is neither linear nor continuous. To improve the accuracy of deformable registration by finite element analysis, the ... Full text Cite

SU‐GG‐J‐179: The Errors in Determining Lung Tumor ITV From Time Resolved Image Reconstruction

Conference Medical Physics · January 1, 2008 Purpose: We have reported that the maximum intensity projection (MIP) of lung tumor determined from time resolved image modalities, such as 4DCT, may be inaccurate because of the patient breathing variability. Nevertheless, the MIP is often regarded as an ... Full text Cite

Point-set registration of tagged HE-3 images using a structurally-based Jensen-Shannon divergence measure within a deterministic annealing framework

Journal Article 2008 5th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings Isbi · January 1, 2008 Helium-3 tagged magnetic resonance imaging has demonstrated potential for calculating pulmonary deformation from medical imagery. Such measurements are useful for determining the biomechanical properties of the lung. Unfortunately, the relative facility of ... Full text Cite

Estimation of error in maximal intensity projection-based internal target volume of lung tumors: a simulation and comparison study using dynamic magnetic resonance imaging.

Journal Article Int J Radiat Oncol Biol Phys · November 1, 2007 Featured Publication PURPOSE: To evaluate the error in four-dimensional computed tomography (4D-CT) maximal intensity projection (MIP)-based lung tumor internal target volume determination using a simulation method based on dynamic magnetic resonance imaging (dMRI). METHODS AN ... Full text Link to item Cite

Evaluation of thoracic spinal cord motion using dynamic MRI.

Journal Article Radiother Oncol · September 2007 The aim of study was to assess the thoracic spinal cord motion during normal breathing using dynamic magnetic resonance imaging (dMRI). We found that the mean motion range at different thoracic levels is typically within 0.5mm. The good stability makes thi ... Full text Link to item Cite

MR grid-tagging using hyperpolarized helium-3 for regional quantitative assessment of pulmonary biomechanics and ventilation.

Journal Article Magn Reson Med · August 2007 Featured Publication A new technique is demonstrated in six healthy human subjects that combines grid-tagging and hyperpolarized helium-3 MRI to assess regional lung biomechanical function and quantitative ventilation. 2D grid-tagging, achieved by applying sinc-modulated RF-pu ... Full text Link to item Cite

Dose as a function of lung volume and planned treatment volume in helical tomotherapy intensity-modulated radiation therapy-based stereotactic body radiation therapy for small lung tumors.

Journal Article Int J Radiat Oncol Biol Phys · July 15, 2007 PURPOSE: To evaluate the limitations of Hi-Art Helical Tomotherapy (Middleton, WI) stereotactic body radiotherapy (SBRT) for lung lesions, and to provide an initial report on patients treated with this method. Stereotactic body radiotherapy was shown to be ... Full text Link to item Cite

Direct measurement of lung motion using hyperpolarized helium-3 MR tagging.

Journal Article Int J Radiat Oncol Biol Phys · July 1, 2007 Featured Publication PURPOSE: To measure lung motion between end-inhalation and end-exhalation using a hyperpolarized helium-3 (HP (3)He) magnetic resonance (MR) tagging technique. METHODS AND MATERIALS: Three healthy volunteers underwent MR tagging studies after inhalation of ... Full text Link to item Cite

Evaluation of emphysema severity and progression in a rabbit model: comparison of hyperpolarized 3He and 129Xe diffusion MRI with lung morphometry.

Journal Article J Appl Physiol (1985) · March 2007 The apparent diffusion coefficients (ADCs) of hyperpolarized (3)He and (129)Xe gases were measured in the lungs of rabbits with elastase-induced emphysema and correlated against the mean chord length from lung histology. In vivo measurements were performed ... Full text Link to item Cite

Evaluation of the reproducibility of lung motion probability distribution function (PDF) using dynamic MRI.

Journal Article Phys Med Biol · January 21, 2007 Featured Publication Treatment planning based on probability distribution function (PDF) of patient geometries has been shown a potential off-line strategy to incorporate organ motion, but the application of such approach highly depends upon the reproducibility of the PDF. In ... Full text Link to item Cite

TH‐E‐M100F‐06: Estimation of the Error in Internal Target Volume (ITV) of Lung Tumor Obtained From Free‐Breathing Cine‐Mode 4DCT: A Simulation and Comparison Study Based On Dynamic MRI

Journal Article Medical Physics · January 1, 2007 Purpose: To quantitate the error of tumor internal target volume (ITV) as determined from simulated free‐breathing cine‐mode 4DCT using dynamic magnetic resonance imaging (dMRI). Method and Materials: 8 healthy volunteers and 6 lung tumor patients underwen ... Full text Cite

TH‐C‐L100J‐04: Reproducibility of Intra‐Fractional Lung Motion Probability Distribution Function (PDF) Using Dynamic MRI: Statistical Analysis

Journal Article Medical Physics · January 1, 2007 Purpose: To investigate the statistical reproducibility of probability distribution function (PDF) of intra‐fractional lung motion using dynamic magnetic resonance imaging (MRI). Method and Materials: 9 healthy subjects and 3 lung tumor patients underwent ... Full text Cite

TH‐E‐M100J‐06: Parotid Dose Deviation Related to Parotid Volume Reduction During Radiation Therapy: An Analysis Based On TomoTherapy Adaptive Tool

Journal Article Medical Physics · January 1, 2007 Purpose: To determine the parotid dose deviation from the planned dosimetry of oropharyngeal patients treated by Helical Tomotherapy as a consequence of patient deformation. Methods and materials: MVCTs of 14 oropharyngeal patients who underwent tomotherap ... Full text Cite

Pulmonary kinematics from hyperpolarized helium-3 tagged magnetic resonance imaging

Journal Article 2007 4th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings · January 1, 2007 Recent innovations in hyperpolarized Helium-3 magnetic resonance imaging (MRI) include the employment of MR tagging techniques for assessment of pulmonary deformation. Historically, such tagging methods have been successfully applied to cardiac research in ... Full text Cite

A computer simulated phantom study of tomotherapy dose optimization based on probability density functions (PDF) and potential errors caused by low reproducibility of PDF.

Journal Article Med Phys · September 2006 Lung tumor motion trajectories measured by four-dimensional CT or dynamic MRI can be converted to a probability density function (PDF), which describes the probability of the tumor at a certain position, for PDF based treatment planning. Using this method ... Full text Link to item Cite

SU‐EE‐A3‐03: A Biomechanical Lung Deformation Model Based On MR Grid‐Tagging Using Hyperpolarized 3He

Conference Medical Physics · January 1, 2006 Purpose: Deformable image registration is critical for advancements of lung tumor radiation. Commonly used mathematical deformable registrations do not provide actual biomechanical trajectories of anatomical motion. Therefore, we developed a biomechanical ... Full text Cite

TU‐C‐330A‐06: Evaluation of Internal Lung Motion Based On Extended Time Ultra‐Fast MRI Scan

Conference Medical Physics · January 1, 2006 Purpose: In order to develop radiation treatment planning based on a displacement probability function for lung tumors we developed a dynamic MRI protocol to image the internal human respiratory lung motion during a several minute period that simulates the ... Full text Cite

TU‐EE‐A2‐06: A Computer Simulated Study of Dose Optimization Based On Lung Tumor Probability Function Obtained From Long Time Dynamic MRI Scan of Human Subject

Conference Medical Physics · January 1, 2006 Purpose: To minimize normal lung dose by probability distribution function (PDF) based treatment planning for lung tumors. Method and Materials: PDFs were obtained from 5 minute dynamic MRI scans of healthy volunteers. The reproducibility of the PDF was va ... Full text Cite

MO‐D‐I‐609‐03: Fast Dynamic MR Imaging for Tracking Lung Tumor Motion During the Respiratory Cycle

Journal Article Medical Physics · January 1, 2005 Purpose: To compare two MR sequences, HASTE and trueFISP, to track lung tumor motion and to assess tumor conspicuity and image artifacts. Method and Materials: A lung tumor motion phantom, three healthy volunteers and two lung tumor patients were examined ... Full text Cite

SU‐FF‐J‐59: Dose Calculation and Quantitative PTV Expansion Using Dynamic MRI Images

Journal Article Medical Physics · January 1, 2005 Purpose: To extend the geometrically defined PTV expansion for lung cancer patients to dosimetrically relevant PTV expansion by incorporating dynamic MRI into dose calculation and to quantitatively compare the dosimetry of uniform PTV dose with the dosimet ... Full text Cite