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: Lung, Computed tomography, Scanners, Emphysema, Chronic obstructive pulmonary disease, Pulmonary disorders, Statistical modeling, Chest

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

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

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

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

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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