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Chirurgie endovasculaire virtuelle pour patient-spécifique : Application au traitement de l'anévrisme de l'aorte thoracique

Abstract : Cardiovascular diseases are the leading cause of death worldwide. Their analysis leads to multidisciplinary problems that require diversity, transversal and complementary approaches. This contribution is part of a research project in Computer Aided Surgery and intends to contribute to the improvement of TEVAR procedures in terms of accuracy and optimization of the operating strategy. In this study, stereocorrelation technique is used to measure the strain field under a human aortic arch in order to identify its mechanical behaviour. Blood flow simulations in the thoracic aorta were then carried out for a healthy patient using the open source OpenFOAM software. A rheological model derived from polymer rheology, considers viscous, shear thinning and other stress overshoot behaviours. In parallel and in anticipation of the complete modeling of the surgical procedure, numerical calculations ofthe rise of the surgical tools in the thoracic aorta were carried out based on previous work in the laboratory regarding the abdominal aorta. This study aims to virtually simulate the whole endovascular stent graft procedure for an aortic aneurysm. This procedure has a high rate of short-term success and its indication compared to open surgery is increasing. Despite many benefits such as reduced blood loss and reduced recovery time, the hindsight is insufficient and there are limitations related to complex anatomical configurations. This procedure therefore needs to be more reliable and secure. In this context, it is important to identify the mechanical behavior of the aorta for further numerical simulations.
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https://tel.archives-ouvertes.fr/tel-01920742
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Submitted on : Tuesday, November 13, 2018 - 2:32:06 PM
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  • HAL Id : tel-01920742, version 1

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Marine Menut. Chirurgie endovasculaire virtuelle pour patient-spécifique : Application au traitement de l'anévrisme de l'aorte thoracique. Biomécanique [physics.med-ph]. Université de Lyon, 2017. Français. ⟨NNT : 2017LYSEI047⟩. ⟨tel-01920742⟩

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