Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics

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Hoogendoorn C, Sukno FM, Ordas S, Frangi AF. Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics. Int J Comput Vis. 2009; 85(3): 237-252. DOI: 10.1007/s11263-009-0212-6
http://hdl.handle.net/10230/16683
To cite or link this document: http://hdl.handle.net/10230/16683
dc.contributor.author Hoogendoorn, Corné
dc.contributor.author Sukno, Federico M.
dc.contributor.author Ordás, Sebastián
dc.contributor.author Frangi Caregnato, Alejandro
dc.contributor.other Universitat Pompeu Fabra
dc.date.accessioned 2012-07-09T09:58:38Z
dc.date.available 2012-07-09T09:58:38Z
dc.date.issued 2009
dc.identifier.citation Hoogendoorn C, Sukno FM, Ordas S, Frangi AF. Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics. Int J Comput Vis. 2009; 85(3): 237-252. DOI: 10.1007/s11263-009-0212-6
dc.identifier.issn 0920-5691
dc.identifier.uri http://hdl.handle.net/10230/16683
dc.description.abstract In this work we describe the usage of bilinear statistical models as a means of factoring the shape variability into two components attributed to inter-subject variation and to the intrinsic dynamics of the human heart. We show that it is feasible to reconstruct the shape of the heart at discrete points in the cardiac cycle. Provided we are given a small number of shape instances representing the same heart at different points in the same cycle, we can use the bilinear model to establish this. Using a temporal and a spatial alignment step in the preprocessing of the shapes, around half of the reconstruction errors were on the order of the axial image resolution of 2 mm, and over 90% was within 3.5 mm. From this, we conclude that the dynamics were indeed separated from the inter-subject variability in our dataset.
dc.description.sponsorship The work of A.F.F. was supported by the Spanish Ministry of Education and Science under a Ramon y Cajal Research Fellowship. This work was partially developed within the framework of the CENIT-CDTEAM Project funded by the Spanish CDTI-MITYC, and also partially supported by grants MEC TEC2006-03617/TCM and ISCIII FIS2004/40676.
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartof International Journal of Computer Vision. 2009; 85(3): 237-252
dc.rights (c) Springer (The original publication is available at www.springerlink.com)
dc.subject.other Cor -- Imatges
dc.subject.other Cor -- Ferides i lesions
dc.title Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1007/s11263-009-0212-6
dc.subject.keyword Statistical shape modeling
dc.subject.keyword Cardiac modeling
dc.subject.keyword Cardiac dynamics
dc.subject.keyword Bilinear models
dc.subject.keyword Spatiotemporal decomposition
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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