NDLI: FSI simulation of intra-ventricular flow in patient-specific ventricular model with both mitral and aortic valves

Content Provider	IEEE Xplore Digital Library
Author	Liang Zhong Boyang Su Jun-Mei Zhang Hwa Liang Leo Ru San Tan
Copyright Year	2013
Description	Author affiliation: Cardiac Mech. Eng. & Physiol. Unit, Nat. Heart Center, Singapore, Singapore (Liang Zhong; Jun-Mei Zhang; Ru San Tan) \|\| Dept. of Bioeng., Nat. Univ. of Singapore, Singapore, Singapore (Boyang Su; Hwa Liang Leo)
Abstract	Investigating the intra-ventricular flow is the most important to understand the left ventricular function. In this study, we proposed a fluid-structure interaction (FSI) approach to simulate the blood flow in patient-specific model by combining both mitral and aortic valves. To accommodate the large mesh deformation, moving arbitrary Lagrangian-Eulerian (ALE) meshes were used for moving ventricular wall and rotating leaflets of valves. The left ventricular wall was predescribed according to the points acquired from magnetic resonance image (MRI). Mitral and aortic valves were integrated into the model by assuming each leaflet as a rigid body. Fluid-structure interaction (FSI) approach was adopted to capture the rapid motion of leaflets. The simulation results were qualitatively similar to the measurements reported in literatures. To the best of our knowledge, this is the first to simulate the patient-specific ventricular flow with the presence of both mitral and aortic valves.
Starting Page	703
Ending Page	706
File Size	790756
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6609597
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Valves Computational modeling Heart Magnetic resonance imaging Biomedical engineering Numerical models Biomechanics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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