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