Assessment of human left ventricle flow using statistical shape modelling and computational fluid dynamics

作者：Khalafvand S S^*; Voorneveld J D; Muralidharan A; Gijsen F J H; Bosch J G; van Walsum T; Haak A; de Jong N; Kenjeres S^*

来源：Journal of Biomechanics, 2018, 74: 116-125.

DOI：10.1016/j.jbiomech.2018.04.030

• Cardiac blood flow
• Statistical shape modelling
• Computational fluid dynamics
• Left ventricle

Blood flow patterns in the human left ventricle (LV) have shown relation to cardiac health. However, most studies in the literature are limited to a few patients and results are hard to generalize. This study aims to provide a new framework to generate more generalized insights into LV blood flow as a function of changes in anatomy and wall motion. In this framework, we studied the four-dimensional blood flow in LV via computational fluid dynamics (CFD) in conjunction with a statistical shape model (SSM), built from segmented LV shapes of 150 subjects. We validated results in an in-vitro dynamic phantom via time-resolved optical particle image velocimetry (PIV) measurements. This combination of CFD and the SSM may be useful for systematically assessing blood flow patterns in the LV as a function of varying anatomy and has the potential to provide valuable data for diagnosis of LV functionality.

• 出版日期2018-6-6