Multiscale modeling of blood flow in the context of congenital heart disease

Grégory Arbia 1, 2
1 REO - Numerical simulation of biological flows
LJLL - Laboratoire Jacques-Louis Lions, Inria Paris-Rocquencourt, UPMC - Université Pierre et Marie Curie - Paris 6
Abstract : In this thesis, we deal with numerical simulation of blood flow in the context of congenital heart diseases. We focus on clinical data integration into reduced models, and from a numerical point view on the coupling of blood flow (3D Navier-Stokes equations) and reduced models. In the introduction, we present congenital heart diseases and the surgical palliations needed for severe pathologies. We then present a chapter on challenges in numerical simulations of blood flow. In the next chapters, we present a methodology to estimate parameters of reduced models taking into account the effect of the pulmonary vasculature and the clinical measurements performed at different locations prior to surgical intervention of each patient. This method is applied to nine patient-specific cases and provides a representation of the hemodynamics in pulmonary arteries at different palliation stages. The next part of this thesis is devoted to numerical coupling between 3D blood flow and reduced models, which leads to numerical instability in a number of applications. We first present the state of the art for the different coupling methods, and perform a stability analysis of each coupling approach, highlighting the pros and cons. Moreover we present the new 3D-3D coupling method which presents the same energy balance as the 3D-reduced model. We compare all these methods on three systemic or pulmonary patient-specific cases to assess the robustness and accuracy of each one. In the last part of this manuscript we present a framework to investigate the effect of uncertainty of clinical measurements on our methodology to estimate reduced models for surgery planning: we focus on the impact of clinical data uncertainty to estimate blood flow distribution and pressure loss due to a stenosis to assess if it should be removed or not.
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  • HAL Id : tel-01099605, version 1


Grégory Arbia. Multiscale modeling of blood flow in the context of congenital heart disease. Mathematics [math]. Université Pierre et Marie Curie, 2014. English. ⟨tel-01099605⟩



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