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Recent advances in computational methodology for simulation of mechanical circulatory assist devices
Author(s) -
Marsden Alison L.,
Bazilevs Yuri,
Long Christopher C.,
Behr Marek
Publication year - 2014
Publication title -
wiley interdisciplinary reviews: systems biology and medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.087
H-Index - 51
eISSN - 1939-005X
pISSN - 1939-5094
DOI - 10.1002/wsbm.1260
Subject(s) - computer science , bridge (graph theory) , finite element method , pulsatile flow , computational model , destination therapy , ventricular assist device , heart failure , simulation , medicine , engineering , cardiology , structural engineering
Ventricular assist devices ( VADs ) provide mechanical circulatory support to offload the work of one or both ventricles during heart failure. They are used in the clinical setting as destination therapy, as bridge to transplant, or more recently as bridge to recovery to allow for myocardial remodeling. Recent developments in computational simulation allow for detailed assessment of VAD hemodynamics for device design and optimization for both children and adults. Here, we provide a focused review of the recent literature on finite element methods and optimization for VAD simulations. As VAD designs typically fall into two categories, pulsatile and continuous flow devices, we separately address computational challenges of both types of designs, and the interaction with the circulatory system with three representative case studies. In particular, we focus on recent advancements in finite element methodology that have increased the fidelity of VAD simulations. We outline key challenges, which extend to the incorporation of biological response such as thrombosis and hemolysis, as well as shape optimization methods and challenges in computational methodology. WIREs Syst Biol Med 2014, 6:169–188. doi: 10.1002/wsbm.1260 This article is categorized under: Analytical and Computational Methods > Computational Methods Translational, Genomic, and Systems Medicine > Translational Medicine

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