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Image/Model Fusion for the Quantification of Mitral Regurgitation Severity

Abstract : The regular supply of nutrients and oxygen to the organs is ensured by the regular contraction of the heart, a major organ of the cardiovascular system. As a result of certain cardiac diseases, cardiac valves may not function properly, which can lead to a retrograde flow of blood. In the case of the mitral valve, located between the left ventricle and the left atrium, it is referred to as mitral regurgitation. It is necessary to quantify the severity of mitral regurgitation in order to propose an appropriate treatment. In the first part of this document, a 3D mathematical model of cardiac hemodynamics is developed and integrates a mitral regurgitation model. We will also take the opportunity to model the isovolumetric phases of the heart. A relatively accurate model of cardiac hemodynamics, but nevertheless reasonable in term of numerical complexity, is thus obtained at the end of this first part. The second part of this document describes the strategy adopted to allow the fusion of medical images with the numerical simulations. An automatic method allowing the personalization of the mathematical model developed in the first part of the manuscript, based on medical images, is presented, allowing a systematic evaluation of the PISA method. Finally, as the methods presented are still too expensive from a numerical point of view, we conclude with the presentation of a blood flow reconstruction method combining Color Doppler images with physical constraints related to blood incompressibility.
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Submitted on : Thursday, November 12, 2020 - 12:09:07 PM
Last modification on : Friday, August 5, 2022 - 12:01:56 PM


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  • HAL Id : tel-02176167, version 2


Alexandre This. Image/Model Fusion for the Quantification of Mitral Regurgitation Severity. Medical Imaging. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS384⟩. ⟨tel-02176167v2⟩



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