Performing segmentation of ultrasound images using temporal information - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 1993

Performing segmentation of ultrasound images using temporal information

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.
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Dates et versions

inria-00615720 , version 1 (19-08-2011)

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