Cardiac motion estimation by joint alignment of tagged MRI sequences
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- dc.contributor.author Oubel, E.ca
- dc.contributor.author Craene, Mathieu deca
- dc.contributor.author Hero, A.O.ca
- dc.contributor.author Pourmorteza, A.ca
- dc.contributor.author Huguet, Marinaca
- dc.contributor.author Avegliano, Gustavo P.ca
- dc.contributor.author Bijnens, Bartca
- dc.contributor.author Frangi Caregnato, Alejandroca
- dc.date.accessioned 2012-12-13T13:54:15Z
- dc.date.available 2012-12-13T13:54:15Z
- dc.date.issued 2011ca
- 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.en
- dc.format.extent 11 p.
- dc.format.mimetype application/pdfca
- 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.2011.09.001ca
- dc.identifier.doi http://dx.doi.org/10.1016/j.media.2011.09.001
- dc.identifier.issn 1361-8415ca
- dc.identifier.uri http://hdl.handle.net/10230/19958
- dc.language.iso engca
- dc.publisher Elsevierca
- dc.relation.ispartof Medical Image Analysis. 2012; 16( 1): 339-50
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/224495
- dc.rights © Elsevier (http://dx.doi.org/10.1016/j.media.2011.09.001)ca
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword MR taggingen
- dc.subject.keyword Myocardial deformation analysisen
- dc.subject.keyword Non-rigid registrationen
- dc.subject.keyword Entropic graphsen
- dc.subject.other Cor -- Malalties
- dc.subject.other Imatges per ressonància magnètica
- dc.title Cardiac motion estimation by joint alignment of tagged MRI sequencesca
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/acceptedVersionca