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Tracking medical 3D data with a parametric deformable model

Bardinet, Eric; Cohen, Laurent D.; Ayache, Nicholas (1995), Tracking medical 3D data with a parametric deformable model, International Symposium on Computer Vision, 1995. Proceedings, IEEE : Piscataway, NJ. 10.1109/ISCV.1995.477018

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Type
Communication / Conférence
Date
1995
Titre du colloque
International Symposium on Computer Vision, 1995
Date du colloque
1995-11
Ville du colloque
Coral Gables, FL
Pays du colloque
United States
Titre de l'ouvrage
International Symposium on Computer Vision, 1995. Proceedings
Éditeur
IEEE
Ville d’édition
Piscataway, NJ
Isbn
0-8186-7190-4
Identifiant publication
Métadonnées
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Auteur(s)
Bardinet, Eric

Cohen, Laurent D.

Ayache, Nicholas
Résumé (EN)
This paper describes a method to fit and track surfaces. We suppose that we have already extracted from a 3D image some data defined by a set of points. The fitting step makes use of a superquadric model and solves an inverse problem for free-form deformations. This is then used for tracking surfaces in a time sequence of 3D images. We present different approaches to track surfaces in a sequence of 3D images. From the tracking, we deduce an estimation of motion and visualize a velocity map. This method is applied to 2 sequences of different kinds of medical images to track the cardiac left ventricle.
Mots-clés
image sequences; medical image processing; motion estimation