Features Extraction and Analysis Methods for Sequences of Ultrasound Images

Isabelle Herlin 1, * Nicholas Ayache 1, *
* Auteur correspondant
Résumé : Our principal motivation is to study time sequences of echocardiographic raw data to track specific anatomical structures. First, we show that the image processing can make direct use of the audio signal data, avoiding loss of information and yielding optimal results. Secondly, we develop a strategy which takes a time sequence of raw data as input, computes edges, initiates a segmentation of a pre-selected anatomical structure and uses a deformable model for its temporal tracking. This approach is validated in a real time sequence of ultrasound images of the heart to track the left auricle and the mitral valve.
Type de document :
Communication dans un congrès
2nd European Conference on Computer Vision (ECCV'92), May 1992, Santa Margherita Ligure, Italy, Italy. 588, pp. 43-57, 1992, Lecture Notes in Computer Science. 〈10.1007/3-540-55426-2_6〉
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https://hal.inria.fr/inria-00615562
Contributeur : Project-Team Asclepios <>
Soumis le : vendredi 19 août 2011 - 16:47:17
Dernière modification le : vendredi 25 mai 2018 - 12:02:06

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Isabelle Herlin, Nicholas Ayache. Features Extraction and Analysis Methods for Sequences of Ultrasound Images. 2nd European Conference on Computer Vision (ECCV'92), May 1992, Santa Margherita Ligure, Italy, Italy. 588, pp. 43-57, 1992, Lecture Notes in Computer Science. 〈10.1007/3-540-55426-2_6〉. 〈inria-00615562〉

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