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Measuring Myocardial Deformations in Tagged MR Image Sequences Using Informational Non-rigid Registration

  • Caroline Petitjean
  • Nicolas Rougon
  • Françoise Prêteux
  • Philippe Cluzel
  • Philippe Grenier
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2674)

Abstract

We address the problem of quantifying myocardial deformations from tagged MRI sequences. We develop a two-step method comprising (i) a motion estimation step using a novel variational non rigid registration technique based on generalized information measures, and (ii) a measurement step, yielding local and segmental deformation parameters over the whole myocardium. Experiments performed on healthy and pathological data originating from various imaging devices demonstrate that this method delivers, within a reasonable computation time and in a robust and fully unsupervised way, reliable measurements for normal subjects and provide quantitative pathology-specific information.

Keywords

Mutual Information Myocardial Deformation Reasonable Computation Time Radial Contraction Dense Displacement 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Caroline Petitjean
    • 1
  • Nicolas Rougon
    • 1
  • Françoise Prêteux
    • 1
  • Philippe Cluzel
    • 2
  • Philippe Grenier
    • 2
  1. 1.ARTEMIS Project UnitInstitut National des TélécommunicationsEvryFrance
  2. 2.Service de RadiologieGroupe Hospitalier Pitié-SalpêtrièreParisFrance

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