Dr. Ehsan Abadi
Assistant Professor at Duke Univ School of Medicine
SPIE Involvement:
Author | Instructor
Publications (68)

Proceedings Article | 3 April 2024 Presentation + Paper
Proceedings Volume 12927, 129270B (2024) https://doi.org/10.1117/12.3006833
KEYWORDS: Chest, Scanners, Lung, Computed tomography, Pulmonary disorders, Statistical modeling, Emphysema, Chronic obstructive pulmonary disease

Proceedings Article | 2 April 2024 Paper
Proceedings Volume 12930, 1293004 (2024) https://doi.org/10.1117/12.3006949
KEYWORDS: Voxels, X-ray computed tomography, Image segmentation, Image resolution, Bone, Head, Computed tomography, In vivo imaging, Spatial resolution, Spine

Proceedings Article | 1 April 2024 Poster + Paper
Proceedings Volume 12925, 129252U (2024) https://doi.org/10.1117/12.3006830
KEYWORDS: Image sharpness, Scanners, Bone, Computed tomography, Spatial resolution, Bone imaging, Biological imaging

Proceedings Article | 1 April 2024 Presentation + Paper
Proceedings Volume 12925, 129251N (2024) https://doi.org/10.1117/12.3006199
KEYWORDS: Cooccurrence matrices, Mathematical modeling, Computational modeling, Simulations, 3D modeling, Lung, Computed tomography, Radiomics

Proceedings Article | 1 April 2024 Presentation + Paper
Proceedings Volume 12925, 129251H (2024) https://doi.org/10.1117/12.3006925
KEYWORDS: Image segmentation, Scanners, Image restoration, Lung, Computed tomography, Reconstruction algorithms, Algorithm development, Emphysema, Chronic obstructive pulmonary disease, Evolutionary algorithms

Showing 5 of 68 publications
Course Instructor
SC1239: Virtual Clinical Trials: An In-depth Tutorial
Clinical trials are the essential mechanism through which new medical imaging devices and methods are tested. However, with the growing number of such medical solution, clinical trials are proven to be too slow and too costly. Computational resources and modeling technologies have brought us to a place that we can consider computational alternatives to clinical trials: virtual trials where the trial take place in silico. This course provides an essential introduction to virtual clinical trials, focused primarily on imaging. Topics covered include models of human anatomy and physiology, models of imaging processes primarily CT and breast imaging, models of interpretation processes, standardization of the VCT pipeline, and regulatory prospects of VCT. The course will include applications of VCT in designing and affirming new medical imaging equipment and methods, the use VCT data for prototyping and/or complementing the conduct of real clinical trials, and near-hands-on experience in conducting a few example mini-trials as a part of the class.
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