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Stochastic 3D motion compensation of coronary arteries from monoplane angiograms

Hadida, Jonathan, Desrosiers, Christian et Duong, Luc. 2012. « Stochastic 3D motion compensation of coronary arteries from monoplane angiograms ». In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 : 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I (Nice, France, Oct. 1-5, 2012) Coll. « Lecture Notes in Computer Science », vol. 7510. pp. 651-658. Berlin, Germany : Springer Verlag.
Compte des citations dans Scopus : 6.

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Résumé

Image-based navigation during percutaneous coronary interventions is highly challenging since it involves estimating the 3D motion of a complex topology using 2D angiographic views. A static coronary tree segmented in a pre-operative CT-scan can be overlaid on top of the angiographic frames to outline the coronary vessels, but this overlay does not account for coronary motion, which has to be mentally compensated by the cardiologist. In this paper, we propose a new approach to the motion estimation problem, where the temporal evolution of the coronary deformation over the cardiac cycle is modeled as a stochastic process. The sequence of angiographic frames is interpreted as a probabilistic evidence of the succession of unknown deformation states, which can be optimized using particle filtering. Iterative and non-rigid registration is performed in a projective manner, and relies on a feature-based similarity measure. Experiments show promising results in terms of registration accuracy, learning capability and computation time.

Type de document: Compte rendu de conférence
Éditeurs:
Éditeurs
ORCID
Ayache, Nicholas
NON SPÉCIFIÉ
Delingette, Hervé
NON SPÉCIFIÉ
Golland, Polina
NON SPÉCIFIÉ
Mori, Kensaku
NON SPÉCIFIÉ
Professeur:
Professeur
Desrosiers, Christian
Duong, Luc
Affiliation: Génie logiciel et des technologies de l'information
Date de dépôt: 24 juill. 2013 20:42
Dernière modification: 28 nov. 2018 19:39
URI: https://espace2.etsmtl.ca/id/eprint/4934

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