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Matching 3D MR angiography data and 2D X-ray angiograms

  • 3D/2D Registration
  • Conference paper
  • First Online:
CVRMed-MRCAS'97 (CVRMed 1997, MRCAS 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1205))

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.

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Author information

Authors and Affiliations

  1. INRIA Sophia, Projet EPIDAURE, 2004 route des Lucioles, B.P. 93, Sophia Antipolis Cedex, France

    J. Feldmar, G. Malandain, N. Ayache & S. Fernández-Vidal

  2. General Electric Medical Systems Europe, 283 rue de la Minière, 78533, Buc, France

    E. Maurincomme & Y. Trousset

Authors
  1. J. Feldmar
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  2. G. Malandain
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  3. N. Ayache
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  4. S. Fernández-Vidal
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  5. E. Maurincomme
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  6. Y. Trousset
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Editor information

Jocelyne Troccaz Eric Grimson Ralph Mösges

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© 1997 Springer-Verlag Berlin Heidelberg

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Feldmar, J., Malandain, G., Ayache, N., Fernández-Vidal, S., Maurincomme, E., Trousset, Y. (1997). Matching 3D MR angiography data and 2D X-ray angiograms. In: Troccaz, J., Grimson, E., Mösges, R. (eds) CVRMed-MRCAS'97. CVRMed MRCAS 1997 1997. Lecture Notes in Computer Science, vol 1205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029232

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  • DOI: https://doi.org/10.1007/BFb0029232

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62734-0

  • Online ISBN: 978-3-540-68499-2

  • eBook Packages: Springer Book Archive

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