Performing segmentation of ultrasound images using temporal information

Isabelle Herlin 1, 2, * Gérard Giraudon 3, *
* Auteur correspondant
3 PASTIS - Scene Analysis and Symbolic Image Processing
CRISAM - Inria Sophia Antipolis - Méditerranée
Résumé : Spatiotemporal segmentation in echocardiographic image sequences is discussed. Spatial properties and temporal properties are combined to compute segmentation and tracking in a single process. The Markov random field (MRF) framework is used for modeling the energy function. Starting from a reference image, where a manual segmentation is made, a method is developed to estimate the model parameters. An estimation is a crucial point in MRF models. Thus, given an initial segmentation of the sequence, this approach can segment and track a cardiac cavity during the cardiac cycle. Its performance is demonstrated on a real echocardiographic sequence.
Keywords : ultrasound
Type de document :
Communication dans un congrès
IEEE. Proceedings of the conference on Computer Vision and Pattern Recognition, Jun 1993, New York, USA, United States. pp.373-378, 1993, 〈10.1109/CVPR.1993.341103〉
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https://hal.inria.fr/inria-00615720
Contributeur : Project-Team Asclepios <>
Soumis le : vendredi 19 août 2011 - 18:06:55
Dernière modification le : jeudi 11 janvier 2018 - 16:25:53

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Isabelle Herlin, Gérard Giraudon. Performing segmentation of ultrasound images using temporal information. IEEE. Proceedings of the conference on Computer Vision and Pattern Recognition, Jun 1993, New York, USA, United States. pp.373-378, 1993, 〈10.1109/CVPR.1993.341103〉. 〈inria-00615720〉

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