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Cardiac motion estimation by joint alignment of tagged MRI sequences

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dc.contributor.author Oubel, E.
dc.contributor.author Craene, Mathieu de
dc.contributor.author Hero, A.O.
dc.contributor.author Pourmorteza, A.
dc.contributor.author Huguet, Marina
dc.contributor.author Avegliano, Gustavo P.
dc.contributor.author Bijnens, Bart
dc.contributor.author Frangi Caregnato, Alejandro
dc.date.accessioned 2012-12-13T13:54:15Z
dc.date.available 2012-12-13T13:54:15Z
dc.date.issued 2011
dc.identifier.citation Oubel E, De Craene M, Hero AO, Pourmorteza A, Huguet M, Avegliano G, Bijnens BH et al. Cardiac motion estimation by joint alignment of tagged MRI sequences. Med Image Anal. 2012; 16( 1): 339-50. DOI 10.1016/j.media.2011.09.001
dc.identifier.issn 1361-8415
dc.identifier.uri http://hdl.handle.net/10230/19958
dc.description.abstract Image registration has been proposed as an automatic method for recovering cardiac displacement fields from Tagged Magnetic Resonance Imaging (tMRI) sequences. Initially performed as a set of pairwise registrations, these techniques have evolved to the use of 3D+t deformation models, requiring metrics of joint image alignment (JA). However, only linear combinations of cost functions defined with respect to the first frame have been used. In this paper, we have applied k-Nearest Neighbors Graphs (kNNG) estimators of the -entropy (H ) to measure the joint similarity between frames, and to combine the information provided by different cardiac views in an unified metric. Experiments performed on six subjects showed a significantly higher accuracy (p < 0.05) with respect to a standard pairwise alignment (PA) approach in terms of mean positional error and variance with respect to manually placed landmarks. The developed method was used to study strains in patients with myocardial infarction, showing a consistency between strain, infarction location, and coronary occlusion. This paper also presents/nan interesting clinical application of graph-based metric estimators, showing their value for solving practical problems found in medical imaging.
dc.format.extent 11 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Medical Image Analysis. 2012; 16( 1): 339-50
dc.rights © Elsevier (http://dx.doi.org/10.1016/j.media.2011.09.001)
dc.subject.other Cor -- Malalties
dc.subject.other Imatges per ressonància magnètica
dc.title Cardiac motion estimation by joint alignment of tagged MRI sequences
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.media.2011.09.001
dc.subject.keyword MR tagging
dc.subject.keyword Myocardial deformation analysis
dc.subject.keyword Non-rigid registration
dc.subject.keyword Entropic graphs
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/224495
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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