Scholars@Duke
Evan Calabrese

Evan Calabrese

Assistant Professor of Radiology
Radiology, Neuroradiology
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Selected Publications

Reducing Gadolinium Contrast With Artificial Intelligence.

Journal Article J Magn Reson Imaging · September 2024 Gadolinium contrast is an important agent in magnetic resonance imaging (MRI), particularly in neuroimaging where it can help identify blood-brain barrier breakdown from an inflammatory, infectious, or neoplastic process. However, gadolinium contrast has s ... Full text Link to item Cite

Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE).

Journal Article Radiol Artif Intell · September 2024 Purpose To develop a deep learning algorithm to predict 2-year neurodevelopmental outcomes in neonates with hypoxic-ischemic encephalopathy using MRI and basic clinical data. Materials and Methods In this study, MRI data of term neonates with encephalopath ... Full text Link to item Cite

The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset.

Journal Article Radiol Artif Intell · July 2024 Supplemental material is available for this article. ... Full text Link to item Cite

Automated segmentation of ablated lesions using deep convolutional neural networks: A basis for response assessment following laser interstitial thermal therapy.

Journal Article Neuro Oncol · June 3, 2024 BACKGROUND: Laser interstitial thermal therapy (LITT) of intracranial tumors or radiation necrosis enables tissue diagnosis, cytoreduction, and rapid return to systemic therapies. Ablated tissue remains in situ, resulting in characteristic post-LITT edema ... Full text Link to item Cite

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation.

Journal Article Sci Data · May 15, 2024 Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment planning, and l ... Full text Link to item Cite

The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.

Journal Article Radiol Artif Intell · March 2024 Supplemental material is available for this article. ... Full text Link to item Cite

Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset.

Journal Article Sci Rep · February 26, 2024 Brain extraction, or skull-stripping, is an essential data preprocessing step for machine learning approaches to brain MRI analysis. Currently, there are limited extraction algorithms for the neonatal brain. We aim to adapt an established deep learning alg ... Full text Link to item Cite

Efficient Distributed Sequence Parallelism for Transformer-based Image Segmentation

Conference IS and T International Symposium on Electronic Imaging Science and Technology · January 1, 2024 We introduce an efficient distributed sequence parallel approach for training transformer-based deep learning image segmentation models. The neural network models are comprised of a combination of a Vision Transformer encoder with a convolutional decoder t ... Full text Cite

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium.

Journal Article Neuroradiology · September 2023 PURPOSE: While the T2-FLAIR mismatch sign is highly specific for isocitrate dehydrogenase (IDH)-mutant, 1p/19q-noncodeleted astrocytomas among lower-grade gliomas, its utility in WHO grade 4 gliomas is not well-studied. We derived the partial T2-FLAIR mism ... Full text Link to item Cite

Correlating Quantitative MRI-based Apparent Diffusion Coefficient Metrics with 24-month Neurodevelopmental Outcomes in Neonates from the HEAL Trial.

Journal Article Radiology · September 2023 Background Multiple qualitative scoring systems have been created to capture the imaging severity of hypoxic ischemic brain injury. Purpose To evaluate quantitative volumes of acute brain injury at MRI in neonates with hypoxic ischemic brain injury and cor ... Full text Link to item Cite

A Deep Learning Approach for Automated Bone Removal from Computed Tomography Angiography of the Brain.

Journal Article J Digit Imaging · June 2023 Advanced visualization techniques such as maximum intensity projection (MIP) and volume rendering (VR) are useful for evaluating neurovascular anatomy on CT angiography (CTA) of the brain; however, interference from surrounding osseous anatomy is common. E ... Full text Link to item Cite

Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer.

Journal Article Radiology · March 2023 Background There is increasing interest in noncontrast breast MRI alternatives for tumor visualization to increase the accessibility of breast MRI. Purpose To evaluate the feasibility and accuracy of generating simulated contrast-enhanced T1-weighted breas ... Full text Link to item Cite

Parieto-Occipital Injury on Diffusion MRI Correlates with Poor Neurologic Outcome following Cardiac Arrest.

Journal Article AJNR Am J Neuroradiol · March 2023 BACKGROUND AND PURPOSE: MR imaging of the brain provides unbiased neuroanatomic evaluation of brain injury and is useful for neurologic prognostication following cardiac arrest. Regional analysis of diffusion imaging may provide additional prognostic value ... Full text Link to item Cite

Federated learning enables big data for rare cancer boundary detection.

Journal Article Nat Commun · December 5, 2022 Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations ... Full text Link to item Cite

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.

Journal Article Radiol Artif Intell · November 2022 Supplemental material is available for this article. Keywords: Informatics, MR Diffusion Tensor Imaging, MR Perfusion, MR Imaging, Neuro-Oncology, CNS, Brain/Brain Stem, Oncology, Radiogenomics, Radiology-Pathology Integration © RSNA, 2022. ... Full text Link to item Cite

Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks.

Journal Article Radiology. Artificial intelligence · September 2022 Neural networks were trained for segmentation and longitudinal assessment of posttreatment diffuse glioma. A retrospective cohort (from January 2018 to December 2019) of 298 patients with diffuse glioma (mean age, 52 years ± 14 [SD]; 177 men; 152 patients ... Full text Cite

Structural Connectivity of Human Inferior Colliculus Subdivisions Using in vivo and post mortem Diffusion MRI Tractography.

Journal Article Front Neurosci · 2022 Inferior colliculus (IC) is an obligatory station along the ascending auditory pathway that also has a high degree of top-down convergence via efferent pathways, making it a major computational hub. Animal models have attributed critical roles for the IC i ... Full text Link to item Cite

Reducing Gadolinium Contrast With Artificial Intelligence.

Journal Article J Magn Reson Imaging · September 2024 Gadolinium contrast is an important agent in magnetic resonance imaging (MRI), particularly in neuroimaging where it can help identify blood-brain barrier breakdown from an inflammatory, infectious, or neoplastic process. However, gadolinium contrast has s ... Full text Link to item Cite

Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE).

Journal Article Radiol Artif Intell · September 2024 Purpose To develop a deep learning algorithm to predict 2-year neurodevelopmental outcomes in neonates with hypoxic-ischemic encephalopathy using MRI and basic clinical data. Materials and Methods In this study, MRI data of term neonates with encephalopath ... Full text Link to item Cite

The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset.

Journal Article Radiol Artif Intell · July 2024 Supplemental material is available for this article. ... Full text Link to item Cite

Automated segmentation of ablated lesions using deep convolutional neural networks: A basis for response assessment following laser interstitial thermal therapy.

Journal Article Neuro Oncol · June 3, 2024 BACKGROUND: Laser interstitial thermal therapy (LITT) of intracranial tumors or radiation necrosis enables tissue diagnosis, cytoreduction, and rapid return to systemic therapies. Ablated tissue remains in situ, resulting in characteristic post-LITT edema ... Full text Link to item Cite

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation.

Journal Article Sci Data · May 15, 2024 Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment planning, and l ... Full text Link to item Cite

The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.

Journal Article Radiol Artif Intell · March 2024 Supplemental material is available for this article. ... Full text Link to item Cite

Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset.

Journal Article Sci Rep · February 26, 2024 Brain extraction, or skull-stripping, is an essential data preprocessing step for machine learning approaches to brain MRI analysis. Currently, there are limited extraction algorithms for the neonatal brain. We aim to adapt an established deep learning alg ... Full text Link to item Cite

Efficient Distributed Sequence Parallelism for Transformer-based Image Segmentation

Conference IS and T International Symposium on Electronic Imaging Science and Technology · January 1, 2024 We introduce an efficient distributed sequence parallel approach for training transformer-based deep learning image segmentation models. The neural network models are comprised of a combination of a Vision Transformer encoder with a convolutional decoder t ... Full text Cite

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium.

Journal Article Neuroradiology · September 2023 PURPOSE: While the T2-FLAIR mismatch sign is highly specific for isocitrate dehydrogenase (IDH)-mutant, 1p/19q-noncodeleted astrocytomas among lower-grade gliomas, its utility in WHO grade 4 gliomas is not well-studied. We derived the partial T2-FLAIR mism ... Full text Link to item Cite

Correlating Quantitative MRI-based Apparent Diffusion Coefficient Metrics with 24-month Neurodevelopmental Outcomes in Neonates from the HEAL Trial.

Journal Article Radiology · September 2023 Background Multiple qualitative scoring systems have been created to capture the imaging severity of hypoxic ischemic brain injury. Purpose To evaluate quantitative volumes of acute brain injury at MRI in neonates with hypoxic ischemic brain injury and cor ... Full text Link to item Cite

A Deep Learning Approach for Automated Bone Removal from Computed Tomography Angiography of the Brain.

Journal Article J Digit Imaging · June 2023 Advanced visualization techniques such as maximum intensity projection (MIP) and volume rendering (VR) are useful for evaluating neurovascular anatomy on CT angiography (CTA) of the brain; however, interference from surrounding osseous anatomy is common. E ... Full text Link to item Cite

Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer.

Journal Article Radiology · March 2023 Background There is increasing interest in noncontrast breast MRI alternatives for tumor visualization to increase the accessibility of breast MRI. Purpose To evaluate the feasibility and accuracy of generating simulated contrast-enhanced T1-weighted breas ... Full text Link to item Cite

Parieto-Occipital Injury on Diffusion MRI Correlates with Poor Neurologic Outcome following Cardiac Arrest.

Journal Article AJNR Am J Neuroradiol · March 2023 BACKGROUND AND PURPOSE: MR imaging of the brain provides unbiased neuroanatomic evaluation of brain injury and is useful for neurologic prognostication following cardiac arrest. Regional analysis of diffusion imaging may provide additional prognostic value ... Full text Link to item Cite

Federated learning enables big data for rare cancer boundary detection.

Journal Article Nat Commun · December 5, 2022 Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations ... Full text Link to item Cite

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.

Journal Article Radiol Artif Intell · November 2022 Supplemental material is available for this article. Keywords: Informatics, MR Diffusion Tensor Imaging, MR Perfusion, MR Imaging, Neuro-Oncology, CNS, Brain/Brain Stem, Oncology, Radiogenomics, Radiology-Pathology Integration © RSNA, 2022. ... Full text Link to item Cite

Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks.

Journal Article Radiology. Artificial intelligence · September 2022 Neural networks were trained for segmentation and longitudinal assessment of posttreatment diffuse glioma. A retrospective cohort (from January 2018 to December 2019) of 298 patients with diffuse glioma (mean age, 52 years ± 14 [SD]; 177 men; 152 patients ... Full text Cite

Structural Connectivity of Human Inferior Colliculus Subdivisions Using in vivo and post mortem Diffusion MRI Tractography.

Journal Article Front Neurosci · 2022 Inferior colliculus (IC) is an obligatory station along the ascending auditory pathway that also has a high degree of top-down convergence via efferent pathways, making it a major computational hub. Animal models have attributed critical roles for the IC i ... Full text Link to item Cite

Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma.

Journal Article Neurooncol Adv · 2022 BACKGROUND: Glioblastoma is the most common primary brain malignancy, yet treatment options are limited, and prognosis remains guarded. Individualized tumor genetic assessment has become important for accurate prognosis and for guiding emerging targeted th ... Full text Link to item Cite

Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm.

Journal Article Radiol Artif Intell · January 2022 PURPOSE: To assess how well a brain MRI lesion segmentation algorithm trained at one institution performed at another institution, and to assess the effect of multi-institutional training datasets for mitigating performance loss. MATERIALS AND METHODS: In ... Full text Link to item Cite

Measuring Nonapoptotic Caspase Activity with a Transgenic Reporter in Mice.

Journal Article eNeuro · 2022 The protease caspase-3 is a key mediator of apoptotic programmed cell death. But weak or transient caspase activity can contribute to neuronal differentiation, axonal pathfinding, and synaptic long-term depression. Despite the importance of sublethal, or n ... Full text Link to item Cite

Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks.

Journal Article Radiol Artif Intell · September 2021 PURPOSE: To evaluate the feasibility and accuracy of simulated postcontrast T1-weighted brain MR images generated by using precontrast MR images in patients with brain glioma. MATERIALS AND METHODS: In this retrospective study, a three-dimensional deep con ... Full text Link to item Cite

A high-resolution interactive atlas of the human brainstem using magnetic resonance imaging.

Journal Article Neuroimage · August 15, 2021 Conventional atlases of the human brainstem are limited by the inflexible, sparsely-sampled, two-dimensional nature of histology, or the low spatial resolution of conventional magnetic resonance imaging (MRI). Postmortem high-resolution MRI circumvents the ... Full text Link to item Cite

The regional pattern of abnormal cerebrovascular reactivity in HIV-infected, virally suppressed women.

Journal Article J Neurovirol · October 2020 The purpose of this study was to assess whole brain and regional patterns of cerebrovascular reactivity (CVR) abnormalities in HIV-infected women using quantitative whole brain arterial spin labeling (ASL). We hypothesized that HIV-infected women would dem ... Full text Link to item Cite

A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas.

Journal Article Sci Rep · July 16, 2020 Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. The current standard of care-resection and chemoradiation-is limited in part due to the genetic heterogeneity of glioblastoma. Previous studies have identif ... Full text Link to item Cite

Optimizing Diffusion Imaging Protocols for Structural Connectomics in Mouse Models of Neurological Conditions.

Journal Article Front Phys · April 2020 Network approaches provide sensitive biomarkers for neurological conditions, such as Alzheimer's disease (AD). Mouse models can help advance our understanding of underlying pathologies, by dissecting vulnerable circuits. While the mouse brain contains less ... Full text Link to item Cite

Low-Volume and High-Volume Readers of Neurological and Musculoskeletal MRI: Achieving Subspecialization in Radiology.

Journal Article J Am Coll Radiol · February 2020 OBJECTIVE: Differentiate high- versus low-volume radiologists who interpret neurological (Neuro) MRI or musculoskeletal (MSK) MRI and measure the proportion of Neuro and MSK MRIs read by low-volume radiologists. METHODS: We queried the 2015 Medicare Physic ... Full text Link to item Cite

3D Exploration of the Brainstem in 50-Micron Resolution MRI.

Journal Article Front Neuroanat · 2020 The brainstem, a structure of vital importance in mammals, is currently becoming a principal focus in cognitive, affective, and clinical neuroscience. Midbrain, pontine and medullary structures serve as the conduit for signals between the forebrain and spi ... Full text Link to item Cite

Structural mapping with fiber tractography of the human cuneate fasciculus at microscopic resolution in cervical region.

Journal Article Neuroimage · August 1, 2019 Human spinal white matter tract anatomy has been mapped using post mortem histological information with the help of molecular tracing studies in animal models. This study used 7 Tesla diffusion MR tractography on a human cadaver that was harvested 24 hours ... Full text Link to item Cite

Mapping the human subcortical auditory system using histology, postmortem MRI and in vivo MRI at 7T.

Journal Article Elife · August 1, 2019 Studying the human subcortical auditory system non-invasively is challenging due to its small, densely packed structures deep within the brain. Additionally, the elaborate three-dimensional (3-D) structure of the system can be difficult to understand based ... Full text Link to item Cite

Connectome Smoothing via Low-Rank Approximations.

Journal Article IEEE Trans Med Imaging · June 2019 In brain imaging and connectomics, the study of brain networks, estimating the mean of a population of graphs based on a sample is a core problem. Often, this problem is especially difficult because the sample or cohort size is relatively small, sometimes ... Full text Link to item Cite

Arteriovenous malformation of the ureter diagnosed by CT urogram

Journal Article Urology Case Reports · July 1, 2018 Full text Cite

Spinal cord gray matter segmentation using deep dilated convolutions.

Journal Article Sci Rep · April 13, 2018 Gray matter (GM) tissue changes have been associated with a wide range of neurological disorders and were recently found relevant as a biomarker for disability in amyotrophic lateral sclerosis. The ability to automatically segment the GM is, therefore, an ... Full text Link to item Cite

Repeated mild blast exposure in young adult rats results in dynamic and persistent microstructural changes in the brain.

Journal Article Neuroimage Clin · 2018 A history of mild traumatic brain injury (mTBI), particularly repeated mTBI (rmTBI), has been identified as a risk factor for late-onset neurodegenerative conditions. The mild and transient nature of early symptoms often impedes diagnosis in young adults w ... Full text Link to item Cite

Postmortem diffusion MRI of the entire human spinal cord at microscopic resolution.

Journal Article Neuroimage Clin · 2018 The human spinal cord is a central nervous system structure that plays an important role in normal motor and sensory function, and can be affected by many debilitating neurologic diseases. Due to its clinical importance, the spinal cord is frequently the s ... Full text Link to item Cite

Quantifying the brain's sheet structure with normalized convolution.

Journal Article Med Image Anal · July 2017 The hypothesis that brain pathways form 2D sheet-like structures layered in 3D as "pages of a book" has been a topic of debate in the recent literature. This hypothesis was mainly supported by a qualitative evaluation of "path neighborhoods" reconstructed ... Full text Link to item Cite

Successful treatment of pneumatosis intestinalis with associated pneumoperitoneum and ileus with hyperbaric oxygen therapy.

Journal Article BMJ Case Rep · May 30, 2017 Pneumatosis intestinalis (PI), or the presence of air in the bowel wall, is a rare disorder that is associated with a variety of underlying diseases, including connective tissue disorders. PI presents on a spectrum from asymptomatic to bowel obstruction an ... Full text Open Access Link to item Cite

Automated segmentation of the canine corpus callosum for the measurement of diffusion tensor imaging.

Journal Article Neuroradiol J · February 2016 The goal of this study was to apply image registration-based automated segmentation methods to measure diffusion tensor imaging (DTI) metrics within the canine brain. Specifically, we hypothesized that this method could measure DTI metrics within the canin ... Full text Link to item Cite

Diffusion tractography in deep brain stimulation surgery: A review

Journal Article Frontiers in Neuroanatomy · January 1, 2016 Deep brain stimulation (DBS) is believed to exert its therapeutic effects through modulation of brain circuitry, yet conventional preoperative planning does not allow direct targeting or visualization of white matter pathways. Diffusion MRI tractography (D ... Full text Cite

Predicting degree of myelination based on diffusion tensor imagining of canines with mucopolysaccharidosis type I.

Journal Article Neuroradiol J · December 2015 OBJECTIVE: This study examined the effect of mucopolysaccharidosis (MPS) type 1 on diffusion tensor imaging (DTI) metrics in the canine brain. We hypothesized 1) white matter regions in the MPS brain would show decreased fractional anisotropy (FA) and incr ... Full text Link to item Cite

A Diffusion MRI Tractography Connectome of the Mouse Brain and Comparison with Neuronal Tracer Data.

Journal Article Cereb Cortex · November 2015 Interest in structural brain connectivity has grown with the understanding that abnormal neural connections may play a role in neurologic and psychiatric diseases. Small animal connectivity mapping techniques are particularly important for identifying aber ... Full text Open Access Link to item Cite

A diffusion tensor MRI atlas of the postmortem rhesus macaque brain.

Journal Article Neuroimage · August 15, 2015 The rhesus macaque (Macaca mulatta) is the most widely used nonhuman primate for modeling the structure and function of the brain. Brain atlases, and particularly those based on magnetic resonance imaging (MRI), have become important tools for understandin ... Full text Link to item Cite

Postmortem diffusion MRI of the human brainstem and thalamus for deep brain stimulator electrode localization.

Journal Article Hum Brain Mapp · August 2015 Deep brain stimulation (DBS) is an established surgical therapy for medically refractory tremor disorders including essential tremor (ET) and is currently under investigation for use in a variety of other neurologic and psychiatric disorders. There is grow ... Full text Link to item Cite

An MRI/DTI Atlas of the Rat Brain

Book · May 28, 2015 MRI/DTI Atlas of the Rat Brain offers two major enhancements when compared with earlier attempts to make MRI/DTI rat brain atlases. First, the spatial resolution at 25μm is considerably higher than previous data published. Secondly, the comprehensive set o ... Cite

Correlation of diffusion tensor imaging parameters in the canine brain.

Journal Article Neuroradiol J · February 2015 The goal of this study was to determine the degree to which ex vivo diffusion tensor imaging (DTI) parameters correlate to one another in white matter regions on very high resolution MR scans. Specifically, we hypothesized that radial diffusivity (RD) and ... Full text Link to item Cite

Addendum to “Waxholm Space atlas of the Sprague Dawley rat brain” [NeuroImage 97 (2014) 374-386].

Journal Article Neuroimage · January 15, 2015 The main focus of our original article was to describe the anatomical delineations constituting the first version of the WHS Sprague Dawley atlas, apply the Waxholm Space coordinate system, and publish the associated MRI/DTI template and segmentation volum ... Full text Link to item Cite

Investigating the tradeoffs between spatial resolution and diffusion sampling for brain mapping with diffusion tractography: time well spent?

Journal Article Hum Brain Mapp · November 2014 Interest in mapping white matter pathways in the brain has peaked with the recognition that altered brain connectivity may contribute to a variety of neurologic and psychiatric diseases. Diffusion tractography has emerged as a popular method for postmortem ... Full text Link to item Cite

A high-resolution cardiovascular magnetic resonance diffusion tensor map from ex-vivo C57BL/6 murine hearts.

Journal Article J Cardiovasc Magn Reson · October 16, 2014 BACKGROUND: The complex cardiac fiber structural organization and spatial arrangement of cardiomyocytes in laminar sheetlets contributes greatly to cardiac functional and contractile ejection patterns. This study presents the first comprehensive, ultra-hig ... Full text Link to item Cite

Waxholm Space atlas of the Sprague Dawley rat brain.

Journal Article Neuroimage · August 15, 2014 Three-dimensional digital brain atlases represent an important new generation of neuroinformatics tools for understanding complex brain anatomy, assigning location to experimental data, and planning of experiments. We have acquired a microscopic resolution ... Full text Link to item Cite

Diffusion tensor imaging reveals white matter injury in a rat model of repetitive blast-induced traumatic brain injury.

Journal Article J Neurotrauma · May 15, 2014 Blast-induced traumatic brain injury (bTBI) is one of the most common combat-related injuries seen in U.S. military personnel, yet relatively little is known about the underlying mechanisms of injury. In particular, the effects of the primary blast pressur ... Full text Link to item Cite

Quantitative mapping of trimethyltin injury in the rat brain using magnetic resonance histology.

Journal Article Neurotoxicology · May 2014 The growing exposure to chemicals in our environment and the increasing concern over their impact on health have elevated the need for new methods for surveying the detrimental effects of these compounds. Today's gold standard for assessing the effects of ... Full text Open Access Link to item Cite

Semi-automated 3D segmentation of major tracts in the rat brain: comparing DTI with standard histological methods.

Journal Article Brain Struct Funct · March 2014 Researchers working with rodent models of neurological disease often require an accurate map of the anatomical organization of the white matter of the rodent brain. With the increasing popularity of small animal MRI techniques, including diffusion tensor i ... Full text Link to item Cite

Segmentation of the canine corpus callosum using diffusion-tensor imaging tractography.

Journal Article AJR Am J Roentgenol · January 2014 OBJECTIVE: We set out to determine functional white matter (WM) connections passing through the canine corpus callosum; these WM connections would be useful for subsequent studies of canine brains that serve as models for human WM pathway disease. Based on ... Full text Link to item Cite

Diffusion tensor imaging of neural tissue organization: correlations between radiologic and histologic parameters.

Journal Article Neuroradiol J · October 2013 This study examined the relationship between histological variables and diffusion tensor imaging (DTI) values in a normal canine brain. We hypothesized that radial diffusivity (RD) would correlate with myelin density and fractional anisotropy (FA) would co ... Full text Link to item Cite

Diffusion tensor magnetic resonance histology reveals microstructural changes in the developing rat brain.

Journal Article Neuroimage · October 1, 2013 The postnatal period is a remarkably dynamic phase of brain growth and development characterized by large-scale macrostructural changes, as well as dramatic microstructural changes, including myelination and cortical layering. This crucial period of neurod ... Full text Link to item Cite

A quantitative magnetic resonance histology atlas of postnatal rat brain development with regional estimates of growth and variability.

Journal Article Neuroimage · May 1, 2013 There has been growing interest in the role of postnatal brain development in the etiology of several neurologic diseases. The rat has long been recognized as a powerful model system for studying neuropathology and the safety of pharmacologic treatments. H ... Full text Link to item Cite

An ontology-based segmentation scheme for tracking postnatal changes in the developing rodent brain with MRI.

Journal Article Neuroimage · February 15, 2013 The postnatal period of neurodevelopment has been implicated in a number of brain disorders including autism and schizophrenia. Rodent models have proven to be invaluable in advancing our understanding of the human brain, and will almost certainly play a p ... Full text Link to item Cite

A multidimensional magnetic resonance histology atlas of the Wistar rat brain.

Journal Article Neuroimage · September 2012 We have produced a multidimensional atlas of the adult Wistar rat brain based on magnetic resonance histology (MRH). This MR atlas has been carefully aligned with the widely used Paxinos-Watson atlas based on optical sections to allow comparisons between h ... Full text Link to item Cite