James Carr
· Drs. Frederick John Bradd and William Kennedy Memorial Professor of RadiologyNorthwestern University · Chemical Engineering
Active 1966–2025
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About
James Carr is the Drs. Frederick John Bradd and William Kennedy Memorial Professor of Radiology and a Professor of Biomedical Engineering at Northwestern University. His educational background includes an MD from the Royal College of Surgeons, Ireland, obtained in 1992, followed by residency at Saint Vincent's Hospital, Ireland, completed in 1999, and a fellowship at Northwestern McGaw/Northwestern Memorial Hospital in 2001. His research interests focus on cardiac magnetic resonance imaging (MRI), magnetic resonance angiography (MRA), coronary CT angiography, cardiac CT, CT angiography, and vascular and interventional radiology. Carr has contributed to the development of methodologies for detecting abnormal relative wall shear stress on the thoracic aorta using four-dimensional flow MRI and has explored the influence of aortic valve morphology on aortic hemodynamics. He has authored chapters on MRI of aortic disease and has been involved in advancing imaging techniques for cardiovascular applications.
Research topics
- Medicine
- Cardiology
- Computer Science
- Artificial Intelligence
- Radiology
- Nuclear medicine
- Internal medicine
- Pathology
- Intensive care medicine
- Medical emergency
Selected publications
Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning
Magnetic Resonance in Medicine · 2020 · 154 citations
PURPOSE: To generate fully automated and fast 4D-flow MRI-based 3D segmentations of the aorta using deep learning for reproducible quantification of aortic flow, peak velocity, and dimensions. METHODS: A total of 1018 subjects with aortic 4D-flow MRI (528 with bicuspid aortic valve, 376 with tricuspid aortic valve and aortic dilation, 114 healthy controls) comprised the data set. A convolutional neural network was trained to generate 3D aortic segmentations from 4D-flow data. Manual segmentation…
Journal of Cardiovascular Magnetic Resonance · 2020 · 87 citations
Senior authorCorrespondingThe aim of this document is to provide general guidance and specific recommendations on the practice of cardiovascular magnetic resonance (CMR) in the era of the COVID-19 pandemic. There are two major considerations. First, continued urgent and semi-urgent care for the patients who have no known active COVID-19 should be provided in a safe manner for both patients and staff. Second, when necessary, CMR on patients with confirmed or suspected active COVID-19 should focus on the specific clinical…
Journal of Cardiovascular Magnetic Resonance · 2020 · 75 citations
Senior authorCorrespondingThe aim of this document is to provide specific recommendations on the use of cardiovascular magnetic resonance (CMR) protocols in the era of the COVID-19 pandemic. In patients without COVID-19, standard CMR protocols should be used based on clinical indication as usual. Protocols used in patients who have known / suspected active COVID-19 or post COVID-19 should be performed based on the specific clinical question with an emphasis on cardiac function and myocardial tissue characterization. Shor…
Kidney Functional Magnetic Resonance Imaging and Change in eGFR in Individuals with CKD
Clinical Journal of the American Society of Nephrology · 2020 · 42 citations
BACKGROUND AND OBJECTIVES: Kidney functional magnetic resonance imaging (MRI) requires further investigation to enhance the noninvasive identification of patients at high risk of CKD progression. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: . Lower values of apparent diffusion coefficient (ADC) on diffusion-weighted MRI may indicate increased fibrosis, and higher values of relaxation rate (R2*) on blood oxygen level-dependent MRI may represent decreased oxygenation. Because there was no effect…
Rapid dealiasing of undersampled, non‐Cartesian cardiac perfusion images using U‐net
NMR in Biomedicine · 2020 · 41 citations
) and extensive myocardial coverage (6-8 slices per heartbeat). A major disadvantage of CS is its relatively lengthy processing time (~8 min per slice with 64 frames using a graphics processing unit), thereby making it impractical for clinical translation. The purpose of this study was to implement and test whether an image reconstruction pipeline including a neural network is capable of reconstructing 6.4-fold accelerated, non-Cartesian (radial) cardiac perfusion k-space data at least 10 times…
Recent grants
NIH · $1.8M · 2014
Comprehensive Cardiac Structure-Function Analysis in Heart Transplantation
NIH · $6.4M · 2014–2027
Frequent coauthors
- 381 shared
Tamás Varga
Environmental Molecular Sciences Laboratory
- 381 shared
Montana Smith
Environmental Molecular Sciences Laboratory
- 381 shared
Rey Huachambé
Pacific Northwest National Laboratory
- 381 shared
Nikola Tolić
Pacific Northwest National Laboratory
- 381 shared
Thomas Wietsma
Pacific Northwest National Laboratory
- 381 shared
Arunima Bhattacharjee
Environmental Molecular Sciences Laboratory
- 381 shared
Alexis Heath
Pacific Northwest National Laboratory
- 381 shared
Ruonan Wu
Pacific Northwest National Laboratory
Awards & honors
- Drs. Frederick John Bradd and William Kennedy Memorial Profe…
- Northwestern McGaw/Northwestern Memorial Hospital Fellowship…
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