Abstract : The aim of this work is to track specific anatomical structures in temporal sequences of echocardiographic images. Ultrasound images are available in two broad data types: raw or video data. Different stochastic processes using different kind of information are compared on the basis of these two data types. We explain the selection of a particular model w.r.t. the type of data, and describe the relevant properties that must be taken into account to obtain the best possible results. The models are expressed within a Markov random field framework and we also discuss parameter estimation and energy minimization for the different models.
https://hal.inria.fr/inria-00074251
Contributeur : Rapport de Recherche Inria
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Soumis le : mercredi 24 mai 2006 - 14:51:44
Dernière modification le : samedi 27 janvier 2018 - 01:30:56
Document(s) archivé(s) le : lundi 5 avril 2010 - 00:07:16
