Clinical monitoring of torso deformities in scoliosis using structured splines models

This paper describes the use of structured splines indices for the clinical monitoring of torso deformity in scoliosis. Structured splines indices are computed from the distribution of points of maximal curvature (dominant points) of an object. The suitability and robustness of the indices for this...

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Bibliographic Details
Published in:Medical & biological engineering & computing 2008-12, Vol.46 (12), p.1201-1208
Main Authors: Ajemba, Peter O., Durdle, Nelson G., James Raso, V.
Format: Article
Language:English
Subjects:
Adolescent
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Clinics
Computer Applications
Human Physiology
Humans
Imaging
Imaging, Three-Dimensional - methods
Male
Medical technology
Models, Anatomic
Movement
Original Article
Patients
Photography
Radiology
Rehabilitation
Respiration
Scoliosis
Scoliosis - pathology
Severity of Illness Index
Spine
Studies
Young Adult
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Summary:This paper describes the use of structured splines indices for the clinical monitoring of torso deformity in scoliosis. Structured splines indices are computed from the distribution of points of maximal curvature (dominant points) of an object. The suitability and robustness of the indices for this application is assessed by ascertaining their robustness to inevitable torso shape variations due to sway and breathing and the variability in their values relative to existing clinical measures of deformity. To assess the consistency of these indices with other indices in use for this application, they were used to assess the relative information contents of the front and back of the torso. Results show that structured splines indices are more robust than existing clinical measures for monitoring torso deformity in scoliosis. Results also show that the scoliosis information content ratio of the back torso to the front torso is three to one.
ISSN:0140-0118
1741-0444
DOI:10.1007/s11517-008-0399-7