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Theses

Quantification de biomarqueurs hémodynamiques en imagerie cardiovasculaire par résonance magnétique de flux 4D

Abstract : In cardiovascular imaging, a biomarker is quantitative information correlated with an existing or growing cardiovascular pathology. Biomarkers are generally obtained by anatomy and blood flow imaging. Recently, the 4D Flow MRI sequence opened new opportunities in measuring the blood flow within a 3D volume along the cardiac cycle. However, this sequence is a compromise between signalto-noise ratio, resolution and acquisition time. Allocated time being limited, velocity measurements are noisy and low resolution. In that context, biomarkers' quantification is challenging. This thesis's purpose is to enhance biomarkers' quantification and particularly for the wall shear stress (WSS). Two strategies have been investigated to reach that objective. A first solution allowing the spatiotemporal filtering of the velocity field has been proposed. It revealed the importance of the wall for the velocity field modelization. A second approach, being the major contribution of this work, focused on the design of a WSS quantification algorithm. This algorithm, named PaLMA, is based on the local modelization of the wall to build a velocity model near a point of interest. The WSS is computed from the velocity model. This algorithm embeds an a posteriori regularization step to improve the WSS quantification. Besides, a blurring model of 4D Flow MRI is used for the first time in the WSS quantification context. Finally, this algorithm has been validated over synthetic datasets, with carotids' complex flows, concerning the signal-to-noise ratio, the resolution, and the segmentation. The performances of PaLMA are superior to a reference solution in that domain, within a clinical routine context
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Submitted on : Monday, January 4, 2021 - 3:19:09 PM
Last modification on : Wednesday, November 3, 2021 - 4:19:41 AM

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  • HAL Id : tel-02880144, version 2

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Sébastien Levilly. Quantification de biomarqueurs hémodynamiques en imagerie cardiovasculaire par résonance magnétique de flux 4D. Traitement du signal et de l'image [eess.SP]. École centrale de Nantes, 2020. Français. ⟨NNT : 2020ECDN0007⟩. ⟨tel-02880144v2⟩

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