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PMID: 25262321 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Computational fluid dynamics in coronary artery disease.

Sun Z, Xu L

Abstract

Computational fluid dynamics (CFD) is a widely used method in mechanical engineering to solve complex problems by analysing fluid flow, heat transfer, and associated phenomena by using computer simulations. In recent years, CFD has been increasingly used in biomedical research of coronary artery disease because of its high performance hardware and software. CFD techniques have been applied to study cardiovascular haemodynamics through simulation tools to predict the behaviour of circulatory blood flow in the human body. CFD simulation based on 3D luminal reconstructions can be used to analyse the local flow fields and flow profiling due to changes of coronary artery geometry, thus, identifying risk factors for development and progression of coronary artery disease. This review aims to provide an overview of the CFD applications in coronary artery disease, including biomechanics of atherosclerotic plaques, plaque progression and rupture; regional haemodynamics relative to plaque location and composition. A critical appraisal is given to a more recently developed application, fractional flow reserve based on CFD computation with regard to its diagnostic accuracy in the detection of haemodynamically significant coronary artery disease.

Keywords
Atherosclerosis Computational fluid dynamics Coronary artery disease Haemodynamics Plaque
MeSH 主题词
Animals Blood Flow Velocity Blood Pressure Blood Volume Computer Simulation Coronary Angiography/methods Coronary Artery Disease/physiopathology Coronary Circulation Coronary Vessels/physiopathology Elastic Modulus Humans Models, Cardiovascular Pulsatile Flow Rheology/methods Shear Strength
作者与单位
共 2 位作者,点击展开单位 / ORCID
Sun Zhonghua
Discipline of Medical Imaging, Department of Imaging and Applied Physics, Curtin University, Perth, Western Australia 6845, Australia. Electronic address: [email protected].
Xu Lei
Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China. Electronic address: [email protected].
Article Info
Journal
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Abbr.
Comput Med Imaging Graph
ISSN
1879-0771
Published
2014-12-00
电子出版
2014-00-16
页码
651-63
Language
English
Country/Region
United States
NLM ID
8806104
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