Synthesis of physiologically-informed computational coronary artery plaques for use in virtual clinical trials (Conference Presentation)

Thomas J. Sauer; Taylor W. Richards; Andrew J. Buckler; Melissa Daubert; Pamela Douglas; William P. Segars; Ehsan Samei

doi:10.1117/12.2550011

16 March 2020 Synthesis of physiologically-informed computational coronary artery plaques for use in virtual clinical trials (Conference Presentation)

Thomas J. Sauer, Taylor W. Richards, Andrew J. Buckler, Melissa Daubert, Pamela Douglas, William P. Segars, Ehsan Samei

Author Affiliations +

Proceedings Volume 11312, Medical Imaging 2020: Physics of Medical Imaging; 113121X (2020) https://doi.org/10.1117/12.2550011
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

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.

Conference Presentation

Citation Download Citation

Thomas J. Sauer, Taylor W. Richards, Andrew J. Buckler, Melissa Daubert, Pamela Douglas, William P. Segars, and Ehsan Samei "Synthesis of physiologically-informed computational coronary artery plaques for use in virtual clinical trials (Conference Presentation)", Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 113121X (16 March 2020); https://doi.org/10.1117/12.2550011

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