NDLI: Spatio-temporal alignment of pedobarographic image sequences

Content Provider	Springer Nature Link
Author	Oliveira, Francisco P. M. Sousa, Andreia Santos, Rubim Tavares, João Manuel R. S.
Copyright Year	2011
Abstract	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.
Starting Page	843
Ending Page	850
Page Count	8
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	49
Issue Number	7
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-04-08
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Biomechanics Geometric and temporal transformations Image registration Intra-subject alignment Plantar pressure Biomedical Engineering Human Physiology Computer Applications Imaging Radiology
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

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