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Proceedings Paper

Synthesis of physiologically-informed computational coronary artery plaques for use in virtual clinical trials (Conference Presentation)
Author(s): Thomas J. Sauer; Taylor W. Richards; Andrew J. Buckler; Melissa Daubert; Pamela Douglas; William P. Segars; Ehsan Samei

Paper Abstract

Coronary artery disease (CAD) is one of the leading causes of death world-wide. Because of its great clinical importance, technological and diagnostic advances occur to combat it at a similarly high rate. With the number of clinical trials that would be necessary, this becomes infeasible and virtual clinical trials (VCT) are necessary. These require virtual patients and virtual pathologies. A generative adversarial network (GAN) was used to create a library of coronary plaques which were physiologically validated with finite element analysis. The resulting plaque library consists of a large number of realistic, variable virtual pathologies for use in VCTs.

Paper Details

Date Published: 16 March 2020
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Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 113121X (16 March 2020); doi: 10.1117/12.2550011
Show Author Affiliations
Thomas J. Sauer, Duke Univ. (United States)
Taylor W. Richards, Duke Univ. (United States)
Andrew J. Buckler, Elucid Bioimaging Inc. (United States)
Melissa Daubert, Duke Univ. (United States)
Pamela Douglas, Duke Univ. (United States)
William P. Segars, Duke Univ. (United States)
Ehsan Samei, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 11312:
Medical Imaging 2020: Physics of Medical Imaging
Guang-Hong Chen; Hilde Bosmans, Editor(s)

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