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  1. Medical and Biological Engineering and Computing
  2. Medical and Biological Engineering and Computing : Volume 49
  3. Medical and Biological Engineering and Computing : Volume 49, Issue 7, July 2011
  4. Spatio-temporal alignment of pedobarographic image sequences
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Medical and Biological Engineering and Computing : Volume 55
Medical and Biological Engineering and Computing : Volume 54
Medical and Biological Engineering and Computing : Volume 53
Medical and Biological Engineering and Computing : Volume 52
Medical and Biological Engineering and Computing : Volume 51
Medical and Biological Engineering and Computing : Volume 50
Medical and Biological Engineering and Computing : Volume 49
Medical and Biological Engineering and Computing : Volume 49, Issue 12, December 2011
Medical and Biological Engineering and Computing : Volume 49, Issue 11, November 2011
Medical and Biological Engineering and Computing : Volume 49, Issue 10, October 2011
Medical and Biological Engineering and Computing : Volume 49, Issue 9, September 2011
Medical and Biological Engineering and Computing : Volume 49, Issue 8, August 2011
Medical and Biological Engineering and Computing : Volume 49, Issue 7, July 2011
Effectiveness of medical equipment donations to improve health systems: how much medical equipment is broken in the developing world?
Cardiac regeneration: different cells same goal
Computational analysis of nanoparticle adhesion to endothelium: effects of kinetic rate constants and wall shear rates
Biomechanical modeling of brace treatment of scoliosis: effects of gravitational loads
3D spinal motion analysis during staircase walking using an ambulatory inertial and magnetic sensing system
Predicted effects of pulse width programming in spinal cord stimulation: a mathematical modeling study
Effect of fiducial marker defects on stereotactic target localization in the Leksell stereotactic system
Optimizing bioimpedance measurement configuration for dual-gated nuclear medicine imaging: a sensitivity study
Low intensity microwave radiation as modulator of the l-lactate dehydrogenase activity
Impaired gait in ankylosing spondylitis
Voiceless Arabic vowels recognition using facial EMG
Automatic breath-to-breath analysis of nocturnal polysomnographic recordings
Dynamics of insulin action in hypertension: assessment from minimal model interpretation of intravenous glucose tolerance test data
Spatio-temporal alignment of pedobarographic image sequences
Medical and Biological Engineering and Computing : Volume 49, Issue 6, June 2011
Medical and Biological Engineering and Computing : Volume 49, Issue 5, May 2011
Medical and Biological Engineering and Computing : Volume 49, Issue 4, April 2011
Medical and Biological Engineering and Computing : Volume 49, Issue 3, March 2011
Medical and Biological Engineering and Computing : Volume 49, Issue 2, February 2011
Medical and Biological Engineering and Computing : Volume 49, Issue 1, January 2011
Medical and Biological Engineering and Computing : Volume 48
Medical and Biological Engineering and Computing : Volume 47
Medical and Biological Engineering and Computing : Volume 46
Medical and Biological Engineering and Computing : Volume 45
Medical and Biological Engineering and Computing : Volume 44
Medical and Biological Engineering and Computing : Volume 43
Medical and Biological Engineering and Computing : Volume 42
Medical and Biological Engineering and Computing : Volume 41
Medical and Biological Engineering and Computing : Volume 40
Medical and Biological Engineering and Computing : Volume 39
Medical and Biological Engineering and Computing : Volume 38
Medical and Biological Engineering and Computing : Volume 37
Medical and Biological Engineering and Computing : Volume 36
Medical and Biological Engineering and Computing : Volume 35

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Spatio-temporal alignment of pedobarographic image sequences

Content Provider SpringerLink
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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