Intraoperative tracking of aortic valve plane.

Duc Long Hung Nguyen 1 Mireille Garreau 1 Vincent Auffret 1 Hervé Le Breton 2, 1 Jean-Philippe Verhoye 1, 3 Pascal Haigron 1, *
* Auteur correspondant
1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 Service de cardiologie et maladies vasculaires
3 Service de chirurgie thoracique cardiaque et vasculaire [Rennes]
Abstract : The main objective of this work is to track the aortic valve plane in intra-operative fluoroscopic images in order to optimize and secure Transcatheter Aortic Valve Implantation (TAVI) procedure. This paper is focused on the issue of aortic valve calcifications tracking in fluoroscopic images. We propose a new method based on the Tracking-Learning-Detection approach, applied to the aortic valve calcifications in order to determine the position of the aortic valve plane in intra-operative TAVI images. This main contribution concerns the improvement of object detection by updating the recursive tracker in which all features are tracked jointly. The approach has been evaluated on four patient databases, providing an absolute mean displacement error less than 10 pixels (≈2mm). Its suitability for the TAVI procedure has been analyzed.
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Article dans une revue
Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Institute of Electrical and Electronics Engineers (IEEE), 2013, 2013, pp.4378-81. 〈10.1109/EMBC.2013.6610516〉
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https://www.hal.inserm.fr/inserm-00878533
Contributeur : Lotfi Senhadji <>
Soumis le : mercredi 30 octobre 2013 - 11:38:08
Dernière modification le : mercredi 16 mai 2018 - 11:23:42
Document(s) archivé(s) le : vendredi 7 avril 2017 - 19:14:21

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Duc Long Hung Nguyen, Mireille Garreau, Vincent Auffret, Hervé Le Breton, Jean-Philippe Verhoye, et al.. Intraoperative tracking of aortic valve plane.. Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Institute of Electrical and Electronics Engineers (IEEE), 2013, 2013, pp.4378-81. 〈10.1109/EMBC.2013.6610516〉. 〈inserm-00878533〉

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