A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures.
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.
Rougon
Nicolas
N
ARTEMIS Project Unit, GET/INT, 9 Rue Charles Fourier, 91011 Evry, France. nicolas@rougon@int-evry.fr
Petitjean
Caroline
C
Prêteux
Françoise
F
Cluzel
Philippe
P
Grenier
Philippe
P
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*