Cardiac motion extraction from images by filtering estimation based on a biomechanical model

Philippe Moireau 1 Dominique Chapelle 1 Mariette Yvinec 1, 2
2 GEOMETRICA - Geometric computing
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Saclay - Ile de France
Abstract : Starting from the presentation of a unified perspective of segmentation with deformable models and data assimilation with images, we propose a data assimilation procedure designed to dynamically estimate 3D positions and velocities of the myocardium along the heart cycle, using data consisting of contours extracted from image sequences. We assess this procedure with a test problem based on a realistic computational heart model, and with synthetic data produced from reference simulations by creating binary images of the myocardium. The automatic meshing library CGAL is then employed to create contour meshes for each snapshot, and these meshes are directly used in the model measurement comparisons. This approach gives very satisfactory qualitativeand quantitative results.
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Communication dans un congrès
Nicholas Ayache and Hervé Delingette and Maxime Sermesant. FIMH'09 - 5th International Conference Functional Imaging and Modeling of the Heart, Jun 2009, Nice, France. Springer, 5528, pp.220-228, 2009, Lecture Notes in Computer Science. 〈10.1007/978-3-642-01932-6_24〉
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https://hal.inria.fr/hal-00772059
Contributeur : Dominique Chapelle <>
Soumis le : mercredi 9 janvier 2013 - 18:51:50
Dernière modification le : mardi 17 avril 2018 - 11:27:00

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Philippe Moireau, Dominique Chapelle, Mariette Yvinec. Cardiac motion extraction from images by filtering estimation based on a biomechanical model. Nicholas Ayache and Hervé Delingette and Maxime Sermesant. FIMH'09 - 5th International Conference Functional Imaging and Modeling of the Heart, Jun 2009, Nice, France. Springer, 5528, pp.220-228, 2009, Lecture Notes in Computer Science. 〈10.1007/978-3-642-01932-6_24〉. 〈hal-00772059〉

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