Spatio-temporal alignment of pedobarographic image sequences.
This article 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 o...
| Published in: | Medical & Biological Engineering & Computing Vol. 49; no. 7; pp. 843 - 851 |
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| Main Authors: | , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Jul2011
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104572684&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104572684 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jul2011 vid: 49 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104572684 NLM21476048 2011187455 10.1007/s11517-011-0771-x NLM21476048 104572684 ppf: 843 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Spatio-temporal alignment of pedobarographic image sequences. aug: au: Oliveira FP Sousa A Santos R Tavares JM Oliveira, Francisco P M Sousa, Andreia Santos, Rubim Tavares, João Manuel R S affil: Faculdade de Engenharia da Universidade do Porto (FEUP)/Instituto de Engenharia Mecânica e Gestão Industrial (INEGI), Rua Dr. Roberto Frias, 4200-465, Porto, Portugal sug: subj: Foot Physiology Image Interpretation, Computer Assisted Methods Walking Physiology Adolescence Algorithms Biomechanics Female Male Pressure Quality Assurance Young Adult Adolescent: 13-18 years Female Male ab: This article 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. In addition, 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 article represents an important step forward in the alignment of pedobarographic image data, since previous methods can only be applied on static images. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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