Measuring myocardial deformations in tagged MR image sequences using informational non-rigid registration

  • Caroline Petitjean
  • , Nicolas Rougon
  • , Françoise Prêteux
  • , Philippe Cluzel
  • , Philippe Grenier

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsIsabelle E. Magnin, Johan Montagnat, Patrick Clarysse, Jukka Nenonen, Toivo Katila
PublisherSpringer Verlag
Pages162-172
Number of pages11
ISBN (Print)3540402624, 9783540402626
DOIs
Publication statusPublished - 1 Jan 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2674
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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