From normal right ventricle to pathology : shape and function analysis with different loading conditions using imaging and modelling

Pamela Moceri 1, 2
1 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The aim of this thesis is to study the right ventricle (RV) in different loading conditions using imaging and modelling. The first axis of this work was a prospective study in which we studied RV deformation in healthy controls and pulmonary hypertension (PH) patients (pressure overload) using 3D transthoracic RV echocardiographic sequences. Output RV meshes; obtained after myocardial tracking; were post-processed to extract area strain and spatiotemporal correspondences were checked before computing statistics on these meshes. RV shape and strain patterns were gradually deteriorated with the severity of PH and provided independent prognostic information. The second axis of this work focused on the role of a longitudinal evaluation in comparison with a single assessment at baseline, using the same methodology. We demonstrated the additional prognostic value of changes in RV area strain and the importance of septal segments. In the third axis, we assessed the complementary aspects of RV deformation and shape (using curvature index) in RV volume overload patients. While shape and strain are both altered in tetralogy of Fallot patients, only RV shape allows to differentiate atrial septal defects from normal controls. Finally, in the last axis, we focused on the added value of the personalisation of a 0D circulation model to characterize the pathology and predict the response to therapy in pulmonary arterial hypertension. The model was personalised to 11 PH patient data before and after advanced specific PH therapy. The model parameters reflected accurately the expected changes with therapy.
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Pamela Moceri. From normal right ventricle to pathology : shape and function analysis with different loading conditions using imaging and modelling. Other. Université Côte d'Azur, 2018. English. ⟨NNT : 2018AZUR4003⟩. ⟨tel-01781331⟩

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