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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
Associate Professor in the Department of Electrical and Computer Engineering · 2024 - Present Electrical and Computer Engineering, Pratt School of Engineering

Recent Publications


Truth-based physics informed estimation of material composition in spectral CT in terms of density and effective atomic number.

Journal Article Phys Med Biol · February 5, 2026 Spectral CT data from Photon-Counting CT (PCCT) enables material decomposition. Mechanistic approaches such as Maximum Likelihood Estimation (MLE) are noise sensitive. Deep learning alternatives mitigate this issue, but their accuracy remains limited due t ... Full text Link to item Cite

Airway quantifications of bronchitis patients with photon-counting and energy-integrating computed tomography.

Journal Article J Med Imaging (Bellingham) · January 2026 PURPOSE: Accurate airway measurement is critical for bronchitis quantification with computed tomography (CT), yet optimal protocols and the added value of photon-counting CT (PCCT) over energy-integrating CT (EICT) for reducing bias remain unclear. We quan ... Full text Link to item Cite

Development of a customizable model for spectral photon-counting detector CT.

Journal Article Med Phys · December 2025 BACKGROUND: Photon-counting detector CT (PCD-CT) is a new CT technology that offers enhanced spatial and spectral imaging performances. As a new technology, conditioning and qualifying its precise performance can benefit from a comprehensive framework to e ... Full text 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.