title: 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.
authors.affiliation: ARTEMIS Project Unit, GET/INT, 9 Rue Charles Fourier, 91011 Evry, France. nicolas@rougon@int-evry.fr
authors.forename: Nicolas
authors.initials: N
authors.lastname: Rougon
authors.forename: Caroline
authors.initials: C
authors.lastname: Petitjean
authors.forename: Françoise
authors.initials: F
authors.lastname: Prêteux
authors.forename: Philippe
authors.initials: P
authors.lastname: Cluzel
authors.forename: Philippe
authors.initials: P
authors.lastname: Grenier
mesh_terms: D000328:Adult; D000465:Algorithms; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine; D008297:Male; D009200:Myocardial Contraction / Q000502:physiology*; D017202:Myocardial Ischemia / Q000503:physiopathology*