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

Nicolas Rougon (1) , Caroline Petitjean (1) , Françoise Prêteux (1) , Philippe Cluzel (2) , Philippe Grenier (2)

1 TSP - ARTEMIS - Département Advanced Research And Techniques For Multidimensional Imaging Systems
2 CHU Pitié-Salpêtrière [AP-HP]

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.

Mots clés: Generalized information measures; Non-rigid registration; Myocardial function; MR tagging; Cardiac motion analysis

Domaines: Imagerie; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

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, 2005, 9 (4), pp.353-75. ⟨10.1016/j.media.2005.01.005⟩. ⟨hal-00673418⟩