A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures.

Abstract : We address the problem of quantitatively assessing myocardial function 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 on healthy and pathological data demonstrate that this method delivers, within a reasonable computation time and in a fully unsupervised way, reliable measurements for normal subjects and quantitative pathology-specific information. Beyond cardiac MRI, this work redefines the foundations of variational non-rigid registration for information-theoretic similarity criteria with potential interest in multimodal medical imaging.
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https://hal.archives-ouvertes.fr/hal-00673418
Contributeur : Caroline Petitjean <>
Soumis le : jeudi 23 février 2012 - 15:05:02
Dernière modification le : mardi 10 octobre 2017 - 11:22:04

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Nicolas Rougon, Caroline Petitjean, Françoise Prêteux, Philippe Cluzel, Philippe Grenier. A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures.. Medical Image Analysis, Elsevier, 2005, 9 (4), pp.353-75. 〈10.1016/j.media.2005.01.005〉. 〈hal-00673418〉

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