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Ehsan Abadi

Associate Professor in Radiology
Radiology

Overview


Ehsan Abadi, PhD is an imaging scientist at Duke University. He serves as an Associate Professor in the departments of Radiology and Electrical & Computer Engineering, a faculty member in the Medical Physics Graduate Program and Carl E. Ravin Advanced Imaging Laboratories, and a co-Lead in the Center for Virtual Imaging Trials. Ehsan’s research focuses on quantitative imaging and optimization, computational human modeling, medical imaging simulation, and CT imaging in cardiothoracic and musculoskeletal applications. He is actively involved in developing computational anthropomorphic models with various diseases such as COPD, and scanner-specific simulation platforms (e.g., DukeSim) for imaging systems. Currently, his work is centered on identifying and optimizing imaging systems to ensure accurate and precise quantifications of lung and bone diseases.

Current Appointments & Affiliations


Associate Professor in Radiology · 2024 - Present Radiology, Clinical Science Departments
Assistant Professor in the Department of Electrical and Computer Engineering · 2020 - Present Electrical and Computer Engineering, Pratt School of Engineering

Recent Publications


XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans.

Journal Article Med Image Anal · May 3, 2025 Virtual Imaging Trials (VIT) offer a cost-effective and scalable approach for evaluating medical imaging technologies. Computational phantoms, which mimic real patient anatomy and physiology, play a central role in VITs. However, the current libraries of c ... Full text Link to item Cite

AAPM Truth-based CT (TrueCT) reconstruction grand challenge.

Journal Article Med Phys · April 2025 BACKGROUND: This Special Report summarizes the 2022, AAPM grand challenge on Truth-based CT image reconstruction. PURPOSE: To provide an objective framework for evaluating CT reconstruction methods using virtual imaging resources consisting of a library of ... Full text Link to item Cite

Development and Clinical Evaluation of a Contrast Optimizer for Contrast-Enhanced CT Imaging of the Liver.

Journal Article J Comput Assist Tomogr · March 2025 OBJECTIVE: Patient characteristics, iodine injection, and scanning parameters can impact the quality and consistency of contrast enhancement of hepatic parenchyma in CT imaging. Improving the consistency and adequacy of contrast enhancement can enhance dia ... Full text Open Access Link to item Cite
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Recent Grants


Accuracy and Precision in CT Quantification of COPD Through Virtual Imaging Trials

ResearchPrincipal Investigator · Awarded by National Heart, Lung, and Blood Institute · 2021 - 2026

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Education, Training & Certifications


Duke University · 2018 Ph.D.