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International Workshop on Functional Imaging and Modeling of the Heart

FIMH 2003: Functional Imaging and Modeling of the Heart pp 215–223Cite as

Automatic Registration of MR First-Pass Myocardial Perfusion Images

Part of the Lecture Notes in Computer Science book series (LNCS,volume 2674)

Abstract

Magnetic resonance perfusion imaging has become a technique of choice in the evaluation of patients with suspected coronary artery disease (CAD). In order to improve the quantification of perfusion parameters (such as signal intensity amplitude and upslope), an automatic registration technique is proposed. The results are compared to manually registered perfusion sequences. Perfusion maps computed from original and registered data sets are also compared. Automatic registration can be efficiently used as a post-processing technique to improve further qualitative and quantitative evaluation strategies.

Keywords

  • Mutual Information
  • Perfusion Parameter
  • Registration Algorithm
  • Registration Technique
  • Dynamic Sequence

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/3-540-44883-7_22
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Author information

Authors and Affiliations

  1. THERALYS S.A., 29 rue Bellecombe, 69006, Lyon, France

    Luc Bracoud, Fabrice Vincent & Chahin Pachai

  2. CREATIS, INSA, Bâtiment Blaise Pascal, 69621, Villeurbanne Cedex, France

    Luc Bracoud, Emmanuelle Canet, Pierre Croisille & Didier Revel

Authors
  1. Luc Bracoud
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  2. Fabrice Vincent
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  3. Chahin Pachai
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  4. Emmanuelle Canet
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  5. Pierre Croisille
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  6. Didier Revel
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Editor information

Editors and Affiliations

  1. CREATIS, INSERM, France

    Isabelle E. Magnin

  2. CREATIS, CNRS, INSA, bâatiment Blaise Pascal, 20, avenue Albert Einstein, 69621, Villeurbanne cedex, France

    Johan Montagnat & Patrick Clarysse & 

  3. Institute of Biomedical Engineering, Helsinki University of Technology, P.O. Box 2200, 02015, Hut, Finland

    Jukka Nenonen & Toivo Katila & 

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© 2003 Springer-Verlag Berlin Heidelberg

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Bracoud, L., Vincent, F., Pachai, C., Canet, E., Croisille, P., Revel, D. (2003). Automatic Registration of MR First-Pass Myocardial Perfusion Images. In: Magnin, I.E., Montagnat, J., Clarysse, P., Nenonen, J., Katila, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2003. Lecture Notes in Computer Science, vol 2674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44883-7_22

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  • DOI: https://doi.org/10.1007/3-540-44883-7_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40262-6

  • Online ISBN: 978-3-540-44883-9

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