Scholars@Duke
Deshan Yang

Deshan Yang

Professor of Radiation Oncology
Radiation Oncology
deshan.yang@duke.edu
40 Duke Medicine Circle, 04212, PO Box 3640, Durham, NC 27710
40 Duke Medicine Circle, 04212, 3640 DUMC, Durham, NC 27710

Scholarly Works

A respiratory motion analysis for guiding stereotactic arrhythmia radiotherapy motion management.

Journal article Med Phys · February 2026 BACKGROUND: Stereotactic arrhythmia radiotherapy (STAR) treats ventricular tachycardia (VT) but requires internal target volume (ITV) expansions to compensate for cardiorespiratory motion. Respiratory 4D CTs (r4DCT) are commonly acquired for STAR patients ... Full text Link to item Cite

A motion analysis of cardiac substructures for guiding stereotactic arrhythmia radiotherapy motion management.

Journal article Med Phys · September 2025 BACKGROUND: Stereotactic arrhythmia radiotherapy (STAR) has recently emerged as a novel noninvasive treatment option for critically ill and drug-refractory VT patients who cannot be treated or re-treated by catheter ablation. However, STAR requires precise ... Full text Link to item Cite

Orthogonal MRI Motion Prediction to Mitigate Latencies in MRI-Guided Radiotherapy

Conference INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS · September 1, 2025 Link to item Cite

A vessel bifurcation landmark pair dataset for abdominal CT deformable image registration (DIR) validation.

Journal article Med Phys · July 2025 PURPOSE: Deformable image registration (DIR) is an enabling technology in many diagnostic and therapeutic tasks. Despite this, DIR algorithms have limited clinical use, largely due to a lack of benchmark datasets for quality assurance during development. D ... Full text Link to item Cite

ICD lead and primary metal artifact detection and inpainting in cardiac CT images.

Journal article Med Phys · July 2025 BACKGROUND: Quantifying cardiac motion on pre-treatment CT imaging for stereotactic arrhythmia radiotherapy patients is difficult due to image artifacts caused by metal leads of implantable cardioverter-defibrillators (ICDs). The CT scanners' onboard metal ... Full text Link to item Cite

Real-time 3D MR guided radiation therapy through orthogonal MR imaging and manifold learning.

Journal article Med Phys · March 2025 BACKGROUND: In magnetic resonance image (MRI)-guided radiotherapy (MRgRT), 2D rapid imaging is commonly used to track moving targets with high temporal frequency to minimize gating latency. However, anatomical motion is not constrained to 2D, and a portion ... Full text Link to item Cite

A Vessel Bifurcation Landmark Pair Dataset for Abdominal CT Deformable Image Registration (DIR) Validation.

Journal article ArXiv · January 15, 2025 PURPOSE: Deformable image registration (DIR) is an enabling technology in many diagnostic and therapeutic tasks. Despite this, DIR algorithms have limited clinical use, largely due to a lack of benchmark datasets for quality assurance during development. D ... Link to item Cite

A vessel bifurcation liver CT landmark pair dataset for evaluating deformable image registration algorithms.

Journal article Med Phys · January 2025 PURPOSE: Evaluating deformable image registration (DIR) algorithms is vital for enhancing algorithm performance and gaining clinical acceptance. However, there is a notable lack of dependable DIR benchmark datasets for assessing DIR performance except for ... Full text Link to item Cite

Diffusion-Driven 3D CECT-to-NCECT Conversion for Head and Neck Imaging

Conference Proceedings International Symposium on Biomedical Imaging · January 1, 2025 Many medical applications, such as proton therapy and radiotherapy planning, require both Contrast Enhanced CT (CECT) for tumor and organ delineation and Non-Contrast Enhanced CT (NCECT) for accurate radiation dose calculation. The need for both scans can ... Full text Cite

Conditional Diffusion Model for Abdominal CT Image Synthesis

Conference Proceedings International Symposium on Biomedical Imaging · January 1, 2025 Deep neural networks have revolutionized medical image analysis, with Generative Adversarial Networks (GANs) being prominent in synthesizing realistic images. However, GANs face challenges like mode collapse. As an alternative, Denoising Diffusion Probabil ... Full text Cite

Fast motion-compensated reconstruction for 4D-CBCT using deep learning-based groupwise registration.

Journal article Biomed Phys Eng Express · December 23, 2024 Objective. Previous work has that deep learning (DL)-enhanced 4D cone beam computed tomography (4D-CBCT) images improve motion modeling and subsequent motion-compensated (MoCo) reconstruction for 4D-CBCT. However, building the motion model at treatment tim ... Full text Link to item Cite

A comprehensive lung CT landmark pair dataset for evaluating deformable image registration algorithms.

Journal article Med Phys · May 2024 PURPOSE: Deformable image registration (DIR) is a key enabling technology in many diagnostic and therapeutic tasks, but often does not meet the required robustness and accuracy for supporting clinical tasks. This is in large part due to a lack of high-qual ... Full text Open Access Link to item Cite

Technical note: Minimizing CIED artifacts on a 0.35 T MRI-Linac using deep learning.

Journal article J Appl Clin Med Phys · March 2024 BACKGROUND: Artifacts from implantable cardioverter defibrillators (ICDs) are a challenge to magnetic resonance imaging (MRI)-guided radiotherapy (MRgRT). PURPOSE: This study tested an unsupervised generative adversarial network to mitigate ICD artifacts i ... Full text Link to item Cite

A deep learning approach to remove contrast from contrast-enhanced CT for proton dose calculation.

Journal article J Appl Clin Med Phys · February 2024 PURPOSE: Non-Contrast Enhanced CT (NCECT) is normally required for proton dose calculation while Contrast Enhanced CT (CECT) is often scanned for tumor and organ delineation. Possible tissue motion between these two CTs raises dosimetry uncertainties, espe ... Full text Link to item Cite

Implementation of a knowledge-based decision support system for treatment plan auditing through automation.

Journal article Med Phys · November 2023 BACKGROUND: Independent auditing is a necessary component of a comprehensive quality assurance (QA) program and can also be utilized for continuous quality improvement (QI) in various radiotherapy processes. Two senior physicists at our institution have be ... Full text Link to item Cite

Respiratory motion management using a single rapid MRI scan for a 0.35 T MRI-Linac system.

Journal article Med Phys · October 2023 BACKGROUND: MRI has a rapidly growing role in radiation therapy (RT) for treatment planning, real-time image guidance, and beam gating (e.g., MRI-Linac). Free-breathing 4D-MRI is desirable in respiratory motion management for therapy. Moreover, high-qualit ... Full text Link to item Cite

Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction.

Journal article Med Phys · February 2023 BACKGROUND: Motion-compensated (MoCo) reconstruction shows great promise in improving four-dimensional cone-beam computed tomography (4D-CBCT) image quality. MoCo reconstruction for a 4D-CBCT could be more accurate using motion information at the CBCT imag ... Full text Open Access Link to item Cite

Contour interpolation by deep learning approach.

Journal article J Med Imaging (Bellingham) · November 2022 PURPOSE: Contour interpolation is an important tool for expediting manual segmentation of anatomical structures. The process allows users to manually contour on discontinuous slices and then automatically fill in the gaps, therefore saving time and efforts ... Full text Open Access Link to item Cite

Real-time B0 compensation during gantry rotation in a 0.35-T MRI-Linac.

Journal article Med Phys · October 2022 BACKGROUND: Rotation of the ferromagnetic gantry of a low magnetic field MRI-Linac was previously demonstrated to cause large center frequency offsets of ±400 Hz. The B0 off-resonances cause image artifacts and imaging isocenter shifts that would preclude ... Full text Open Access Link to item Cite

Dose uncertainty and resolution of polymer gel dosimetry using an MRI guided radiation therapy system's onboard 0.35 T scanner.

Journal article Phys Med · May 2020 Magnetic Resonance Imaging (MRI) scanners are widely used for 3D gel dosimeters readout. However, limited access to MRI scanners is a challenge in MRI-based gel dosimetry. Recent clinical implementation of MRI-guided radiation therapy machines provides pot ... Full text Link to item Cite