2013
DOI: 10.1155/2013/395081
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Left Ventricular Flow Analysis: Recent Advances in Numerical Methods and Applications in Cardiac Ultrasound

Abstract: The left ventricle (LV) pumps oxygenated blood from the lungs to the rest of the body through systemic circulation. The efficiency of such a pumping function is dependent on blood flow within the LV chamber. It is therefore crucial to accurately characterize LV hemodynamics. Improved understanding of LV hemodynamics is expected to provide important clinical diagnostic and prognostic information. We review the recent advances in numerical and experimental methods for characterizing LV flows and focus on analysi… Show more

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Cited by 23 publications
(16 citation statements)
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References 100 publications
(144 reference statements)
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“…Alternatively, aortic valve sclerosis may indicate a poorer prognosis due to more advanced coronary artery disease[ 29 ]. Computational modelling of heart mechanics and flow dynamics might assist with further validation of this concept[ 30 ].…”
Section: Discussionmentioning
confidence: 99%
“…Alternatively, aortic valve sclerosis may indicate a poorer prognosis due to more advanced coronary artery disease[ 29 ]. Computational modelling of heart mechanics and flow dynamics might assist with further validation of this concept[ 30 ].…”
Section: Discussionmentioning
confidence: 99%
“…Presence of elliptical LV geometry can be grossly evaluated by eyeballing . Numerous studies on fluid–structure‐coupled simulation of the heart flow by CFD performed by biomedical engineers have also shown the beneficial effects of the elliptical LV geometry in terms of blood flow mechanics . The Karlsruhe Heart Model has also been used to show the relationship between fluid–structure interaction and geometry model .…”
Section: Discussionmentioning
confidence: 99%
“…However, such techniques often require complex setups and flow loops aimed at mimicking the native flow and anatomy and only provide flow information at discrete points or discrete sections within the anatomy. Lastly, computational fluid–structure interaction models have been developed to capture blood flow at high resolutions in compliant anatomies (Peskin and McQueen, 1992 ; Borazjani et al, 2013 ; Cao and Sucosky, 2015 , 2016 ; Cao et al, 2015 ). However, the current computational capabilities still prevent the integration of realistic anisotropic and non-linear material models, complex patient-specific anatomies, and flow boundary conditions.…”
Section: Challenges Knowledge Gap and Needsmentioning
confidence: 99%