Dalin Tang¹, Chun Yang², Satya Atluri³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.18, No.3, pp. 67-68, 2011, DOI:10.3970/icces.2011.018.067

Abstract Cardiovascular disease is the leading cause of death worldwide. Many victims of the disease died suddenly without prior symptoms. It is a great challenge for clinicians and researchers to develop screening techniques and assessment methodologies to identify those patients for early treatment and prevention of the fatal clinical event. Considerable effort has been devoted investigating mechanisms governing atherosclerotic plaque progression and rupture [Friedman, Bargeron, Deters, Hutchins and Mark (1987); Friedman and Giddens (2005); Giddens, Zarins, Glagov, S. (1993); Ku, Giddens, Zarins and Glagov (1985); Gibson et al. (1993); Liu and Tang (2010); Stone et al. (2003); Yang, Tang, Atluri et… More >

Chun Yang^1,2, Dalin Tang², Satya Atluri³

CMES-Computer Modeling in Engineering & Sciences, Vol.72, No.1, pp. 53-78, 2011, DOI:10.3970/cmes.2011.072.053

Abstract Previously, we introduced a computational procedure based on three-dimensional meshless generalized finite difference (MGFD) method and serial magnetic resonance imaging (MRI) data to quantify patient-specific carotid atherosclerotic plaque growth functions and simulate plaque progression. Structure-only models were used in our previous report. In this paper, fluid-stricture interaction (FSI) was added to improve on prediction accuracy. One participating patient was scanned three times (T1, T2, and T3, at intervals of about 18 months) to obtain plaque progression data. Blood flow was assumed to laminar, Newtonian, viscous and incompressible. The Navier-Stokes equations with arbitrary Lagrangian-Eulerian (ALE) formulation were used as the governing… More >