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Model-based analysis of myocardial strains for the evaluation of cardiovascular function

Abstract : Strain imaging by speckle-tracking echocardiography (STE) has been introduced as a complementary tool for the assessment of myocardial function. Compared to other measures of cardiac function, such as left ventricle (LV) ejection fraction (LVEF), the pathophysiological value of STE is still neglected in several clinical conditions. As a consequence, new methods are needed to improve the analysis of echocardiography strain curves for the evaluation of myocardial function. In this context, model-based methods appear as promising alternatives to provide a better understanding of the physiological mechanisms related to the cardiovascular system, as well as to improve diagnosis and therapy support. The main objective of this thesis is to propose a new model- based method for the analysis of cardiac regional strain data, obtained from cardiac echocardiography, particularly in two clinical applications: aortic stenosis (AS) and left bundle branch block (LBBB). The first application of this thesis was to propose a non-invasive model-based estimation of the LV pressure curve in order to obtain reliable myocardial work indices in the case of AS. The second application of the thesis was to propose a novel model-based approach for the analysis of myocardial strains in LBBB patients. Results show a good agreement between data obtained with patient-specific simulations and with experimental measurements. The approaches proposed in this thesis are promising, not only for the optimization of clinical treatment and development but also for understanding the origins of disease.
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Submitted on : Tuesday, November 30, 2021 - 12:19:07 PM
Last modification on : Wednesday, January 5, 2022 - 4:52:13 PM


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  • HAL Id : tel-03456920, version 1


Kimi Piedad Owashi Vallejo. Model-based analysis of myocardial strains for the evaluation of cardiovascular function. Other. Université Rennes 1, 2021. English. ⟨NNT : 2021REN1S043⟩. ⟨tel-03456920⟩



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