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
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 CiteAirway 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 CiteDevelopment 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 CiteRecent Grants
Accuracy and Precision in CT Quantification of COPD Through Virtual Imaging Trials
ResearchPrincipal Investigator · Awarded by National Heart, Lung, and Blood Institute · 2021 - 2026Evaluate clinically the quantitative performance of Siementoms, the quantitative performance of Siemens PCD CT scanner (NAEOTOM Alpha) for longitudinal chest imaging in comparison to EID CT scanners.
Clinical TrialPrincipal Investigator · Awarded by Siemens Medical Solutions USA, Inc. · 2025 - 2026Personalized Digital Twin for Precise Lung Stereotactic Body Radiation Therapy (SBRT) Driven by Fractional 4D Volumetric Imaging
ResearchInvestigator · Awarded by Emory University · 2024 - 2026View All Grants