“…Nevertheless, investigations have been conducted on normal and abnormal hearts leading to potential hemodynamics-based biomarkers for cardiac health. [12,13,14].…”
Section: Recent Technological Innovations In Imaging Techniques Have mentioning
To cite this version:Christophe Chnafa, Simon Mendez, Franck Nicoud. Image-based large-eddy simulation in a realistic left heart. Computers and Fluids, Elsevier, 2014, 94, pp.173-187. 10.1016/j.compfluid.2014
“…Nevertheless, investigations have been conducted on normal and abnormal hearts leading to potential hemodynamics-based biomarkers for cardiac health. [12,13,14].…”
Section: Recent Technological Innovations In Imaging Techniques Have mentioning
To cite this version:Christophe Chnafa, Simon Mendez, Franck Nicoud. Image-based large-eddy simulation in a realistic left heart. Computers and Fluids, Elsevier, 2014, 94, pp.173-187. 10.1016/j.compfluid.2014
“…(3), although care must be taken in imposing appropriate boundary conditions. 13,25,37 Because Eq. (4) is second order and the average pressure gradient (tri-linear terms) follows from the boundary conditions only.…”
Abstract-The flow inside the left ventricle is characterized by the formation of vortices that smoothly accompany blood from the mitral inlet to the aortic outlet. Computational fluid dynamics permitted to shed some light on the fundamental processes involved with vortex motion. More recently, patient-specific numerical simulations are becoming an increasingly feasible tool that can be integrated with the developing imaging technologies. The existing computational methods are reviewed in the perspective of their potential role as a novel aid for advanced clinical analysis. The current results obtained by simulation methods either alone or in combination with medical imaging are summarized. Open problems are highlighted and perspective clinical applications are discussed.
“…However, they only give access to velocity components directed towards or away from the ultrasonic beam, while one would want to measure the full 3D flow vectors. Nevertheless, investigations have been conducted on normal and abnormal hearts and interesting potential indicators of cardiac health hemodynamics arose [4,13,16].…”
A numerical framework designed to compute the blood flow in patientspecific human hearts is presented. The geometry of the heart cavities and associated wall motion are extracted from 4D medical images while the valves of the heart are accounted for thanks to low order geometrical models. The resulting blood flow equations are solved using a fourth-order low-dissipative finite-volume scheme and a mixed Aribtrary Lagrangian-Eulerian / Immersed Boundary framework. On top of retrieving the main fluid flow phenomena commonly observed in the left heart, the methodology allows studying the heart flow dynamics, including the turbulence characteristics and cycle-to-cycle variations.
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