Quantitative CT imaging: from challenges to clinical insights leveraging in silico data скачать в хорошем качестве

Quantitative CT imaging: from challenges to clinical insights leveraging in silico data

Invited speech by Dr. Ehsan Abadi (Jan 30, 2025); Role of virtual imaging trials in enabling and optimizing quantitative imaging. 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.