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Spatio-temporal alignment of pedobarographic image sequences

dc.contributor.authorOliveira, Francisco
dc.contributor.authorSousa, Andreia S. P.
dc.contributor.authorSantos, Rubim
dc.contributor.authorTavares, João Manuel
dc.date.accessioned2013-04-11T13:17:09Z
dc.date.available2013-04-11T13:17:09Z
dc.date.issued2011
dc.description.abstractThis paper presents a methodology to align plantar pressure image sequences simultaneously in time and space. The spatial position and orientation of a foot in a sequence are changed to match the foot represented in a second sequence. Simultaneously with the spatial alignment, the temporal scale of the first sequence is transformed with the aim of synchronizing the two input footsteps. Consequently, the spatial correspondence of the foot regions along the sequences as well as the temporal synchronizing is automatically attained, making the study easier and more straightforward. In terms of spatial alignment, the methodology can use one of four possible geometric transformation models: rigid, similarity, affine or projective. In the temporal alignment, a polynomial transformation up to the 4th degree can be adopted in order to model linear and curved time behaviors. Suitable geometric and temporal transformations are found by minimizing the mean squared error (MSE) between the input sequences. The methodology was tested on a set of real image sequences acquired from a common pedobarographic device. When used in experimental cases generated by applying geometric and temporal control transformations, the methodology revealed high accuracy. Additionally, the intra-subject alignment tests from real plantar pressure image sequences showed that the curved temporal models produced better MSE results (p<0.001) than the linear temporal model. This paper represents an important step forward in the alignment of pedobarographic image data, since previous methods can only be applied on static images.por
dc.identifier.citationOliveira, F. P. M., Sousa, A., Santos, R., & Tavares, J. M. R. S. (2011). Spatio-temporal alignment of pedobarographic image sequences. Medical & Biological Engineering & Computing, 49(7), 843–850. https://doi.org/10.1007/s11517-011-0771-x
dc.identifier.doi10.1007/s11517-011-0771-xpt_PT
dc.identifier.issn0140-0118
dc.identifier.urihttp://hdl.handle.net/10400.22/1238
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.relation.ispartofseriesMedical and Biological Engineering and Computing; Vol. 49, Nº 7
dc.relation.publisherversionhttp://link.springer.com/article/10.1007%2Fs11517-011-0771-x
dc.subjectBiomechanicspor
dc.subjectGeometric and temporal transformationspor
dc.subjectImage registrationpor
dc.subjectIntra-subject alignmentpor
dc.subjectPlantar pressure imagespor
dc.titleSpatio-temporal alignment of pedobarographic image sequencespor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage850por
oaire.citation.issueNº 7
oaire.citation.startPage843por
oaire.citation.titleMedical and Biological Engineering and Computing
oaire.citation.volumeVol. 49por
person.familyNamePinheiro de Sousa
person.familyNameRubim Silva Santos
person.givenNameAndreia Sofia
person.givenNameManuel
person.identifier1070119
person.identifier.ciencia-id2216-9200-7EF6
person.identifier.ciencia-idA018-2B24-C597
person.identifier.orcid0000-0001-9528-1463
person.identifier.orcid0000-0002-7394-7604
person.identifier.ridC-7138-2019
person.identifier.scopus-author-id55950021600
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationaeecfe02-e80d-49ab-9033-a1ade15658f2
relation.isAuthorOfPublication0a264044-a870-4fca-b976-f7ce003d23a8
relation.isAuthorOfPublication.latestForDiscoveryaeecfe02-e80d-49ab-9033-a1ade15658f2

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