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Non-Invasive Fractional Flow Reserve Based on CTA Images and High Performance Parallel CFD

讲座摘要

Invasive fractional flow reserve (FFR) is a numerical value indicating the severity of the blood flow decrease in the coronary artery due to stenosis and now is the gold standard technique used to diagnose the physiological significance of the coronary artery disease (CAD). In recent years, non-invasive FFR technology based on coronary computed tomography angiography (CTA) images and computational fluid dynamics (CFD) method has made significant progress. However, this technology tend to be computationally expensive, and usually require several hours for completing analysis. In this study, we apply a highly parallel finite element method to improve the timeliness of non-invasive FFR. 101 patients underwent invasive FFR measurement and the values were compared with clinical FFR. The comparison results show that the accuracy of our non-invasive FFR technology achieves 80.2%, and the parallel efficiency of the algorithm can exceed 70% when the number of processes is more than one thousand.

 

个人简介

闫争争,博士,中国科学院深圳先进技术研究院助理研究员。2008年在西北工业大学获热能与动力工程专业学士学位,2014年获中国科学院大学计算机应用技术专业博士学位。研究方向为计算流体力学及工程数值模拟,主要从事高速列车外流场、城市空气污染扩散以及血液流动等数值模拟问题的大规模并行求解算法研究工作。已发表高水平SCI期刊论文10篇,国内外会议论文5篇。主持中国博士后基金1项,国家自然科学基金青年基金1项。