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1E32 Personalized Left Atrial Blood Flow Analysis Using Computational Fluid Dynamics

Year: 2016

Type: conference-paper

Abstract: This study presents a computational framework to perform CT-based, personalized blood flow analysis in human left atrium (LA). Patient-specific LA geometry and function were obtained from the cardiac CT images of a patient acquired during sinus rhythm. A four-dimensional displacement vector field was estimated using a non-rigid registration method. The LA blood outflow across the mitral valve was calculated from LV volume change, and the flow field within the LA was derived from computational fluid dynamics (CFD) using the incompressible Navier-Stokes equation. The global characteristics of the LA motion and blood flow excellently agreed with clinical observations. The personalized blood flow analysis in the LA may be useful to evaluate the flow stasis associated with the risk of the intracardiac thrombosis and stroke.

Source: Baioenjiniaringu Koenkai koen ronbunshu/Baioenjiniaringu Kouenkai kouen rombunshuu/Ippan Shadan Hojin Nihon Kikai Gakkai Baioenjiniaringu Koenkai

DOI: 10.1299/jsmebio.2016.28._1e32-1_

Authors: Tomohiro Otani, Abdullah Al-Issa, Amir Pourmorteza, Elliot R. McVeigh, Shigeo wada, Hiroshi Ashikaga

Institutions: Johns Hopkins University, The University of Osaka, University of Maryland, College Park, Istituto Superiore di Sanità, University of California San Diego

Language: English

Topic: Cardiac Valve Diseases and Treatments

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W2676929870

FWCI:

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