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Caractérisation hémodynamique de l'aorte thoracique par IRM, tonométrie d'applanation et simulations numériques

Abstract : The aorta conducts oxygenated blood to organs and also cushions the cardiac pulse wave. Such artery is exposed to age-related hemodynamic alterations and increased stiffness, which is associated with mortality. The objective of my PhD thesis is to propose, using MRI and numerical simulations, non-invasive indices of local aortic hemodynamics, which would be simple, fast and complementary to established aortic geometry and function MRI indices. A first work aims at developing and personalizing a 1D model of the descending aorta, as well as validating such model both qualitatively and quantitatively against MRI data acquired in 7 subjects, to eventually extract pressure, velocity and area parameters. A second work, which is based on MRI data, focuses on: the comparison of 7 methods for the evaluation of aortic pulsatility and their validation against the reference method in 70 healthy subjects, the quantification of aortic reverse flow and its variation with age, as well as the identification of its prime determinants in 96 healthy subjects, : the automated estimation of hemodynamic indices in aortic valve stenosis (AVS) as well as their comparison with the reference Doppler echocardiography, in 53 patients with AVS and 21 controls. Thus, the aortic model could help to identify determinants of aortic alterations and to strengthen in vivo observations. Besides, software tools developed for the reproducible analysis of MRI data provide indices that are characteristic of aging, and which could be studied in relation to end-target organs damage (heart, brain, kidney, etc.) in the setting of cardiovascular pathologies (hypertension, sickle cell disease).
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Emilie Bollache. Caractérisation hémodynamique de l'aorte thoracique par IRM, tonométrie d'applanation et simulations numériques. Imagerie. Université Pierre et Marie Curie - Paris VI, 2014. Français. ⟨NNT : 2014PA066007⟩. ⟨tel-00958757⟩

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