Matching 3D MR Angiography Data and 2D X-ray Angiograms

Abstract : In this paper we present a new algorithm for matching a 3D MR angiography volume image with two 2D X-ray angiograms without using artificial markers. The goal is to prove the feasibility of such a technique, and the long-term aim is to be able to report the catheter position in a 3D pre-operative image, during an X-ray angiographic examination. First, vessels centerlines are computed using a novel algorithm. Then matching is performed using an extension of the ICP algorithm. Special care is taken in dealing with outliers. Comparing the results on real data of our algorithm with a stereotactic frame-based registration, the accuracy of our method is proved to be better than 2 mm in the worse case with good repeatability. This makes it usable for clinical applications.
Type de document :
Communication dans un congrès
Jocelyne Troccaz and Eric Grimson and Ralph Mösges. First Joint Conference Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery - CVRMed-MRCAS'97, Mar 1997, Grenoble, France. Springer, 1205, pp.129--138, 1997, Lecture notes in computer science. 〈10.1007/BFb0029232〉
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https://hal.inria.fr/inria-00615779
Contributeur : Project-Team Asclepios <>
Soumis le : vendredi 19 août 2011 - 18:07:18
Dernière modification le : samedi 27 janvier 2018 - 01:30:58

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Jacques Feldmar, Grégoire Malandain, Nicholas Ayache, Sara Fernández-Vidal, Eric Maurincomme, et al.. Matching 3D MR Angiography Data and 2D X-ray Angiograms. Jocelyne Troccaz and Eric Grimson and Ralph Mösges. First Joint Conference Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery - CVRMed-MRCAS'97, Mar 1997, Grenoble, France. Springer, 1205, pp.129--138, 1997, Lecture notes in computer science. 〈10.1007/BFb0029232〉. 〈inria-00615779〉

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