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Extraction et caractérisation du mouvement cardiaque en imagerie scanner multibarrette.

Abstract : Cardiac kinetics analysis is of a great diagnostic interest in the fight against cardiovascular pathologies. Two methods are proposed in order to estimate cardiac motion from dynamic sequences of three-dimensional volumes acquired in multislice computed tomography. These methods both lie on a feature matching process, carried out within a Markovian framework and according to a multiresolution scheme. The first method, estimating the correspondences between pre-segmented surfaces, is dependent on the temporal coherence of this segmentation. The second method estimates the correspondences between, on the one hand, a segmented surface and, on the other hand, the original data volume corresponding to the next moment. The motion estimation and the segmentation are then carried out, on the whole sequence, during a single process. Both methods are validated on simulated and real data.
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Contributor : Antoine Simon <>
Submitted on : Tuesday, June 3, 2008 - 2:49:20 PM
Last modification on : Thursday, January 14, 2021 - 11:24:57 AM
Long-term archiving on: : Friday, May 28, 2010 - 6:19:01 PM


  • HAL Id : tel-00284654, version 1



Antoine Simon. Extraction et caractérisation du mouvement cardiaque en imagerie scanner multibarrette.. Traitement du signal et de l'image [eess.SP]. Université Rennes 1, 2005. Français. ⟨tel-00284654⟩



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