Intraoperative tracking of aortic valve plane

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 pr...

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Bibliographic Details
Published inConference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) Vol. 2013; pp. 4378 - 81
Main Authors Nguyen, Duc Long Hung, Garreau, Mireille, Auffret, Vincent, Le Breton, Hervé, Verhoye, Jean-Philippe, Haigron, Pascal
Format Journal Article
LanguageEnglish
Published Institute of Electrical and Electronics Engineers (IEEE) 01.07.2013
Subjects
Bioengineering
Cardiology and cardiovascular system
Computer Science
Engineering Sciences
Human health and pathology
Imaging
Life Sciences
Signal and Image processing
Surgery
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Summary: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.
ISSN:1557-170X
DOI:10.1109/EMBC.2013.6610516