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Principal component and factor analysis to study variations in the aging lumbar spine
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Khan, Atif A., Iliescu, Daciana, Sneath, R. J. S., Hutchinson, Charles E. and Shah, Akeel A. (2015) Principal component and factor analysis to study variations in the aging lumbar spine. IEEE Journal of Biomedical and Health Informatics, Volume 19 (Number 2). pp. 745-751. doi:10.1109/JBHI.2014.2328433 ISSN 2168-2194.
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Official URL: http://dx.doi.org/10.1109/JBHI.2014.2328433
Abstract
Human spine is a multifunctional structure of human body consisting of bones, joints, ligaments and muscles which all undergo a process of change with the age. A sudden change in these features either naturally or thorough injury can lead to some serious medical conditions which puts huge burden on health services and economy. While aging is inevitable, the effect of aging on different areas of spine is of clinical significance. This paper reports the growth and degenerative pattern of human spine using principal component analysis. Some noticeable lumbar spine features such as vertebral heights, disc heights, disc signal intensities, para-spinal muscles, subcutaneous fats, psoas muscles and cerebrospinal fluid were used to study the variations seen on lumbar spine with the natural aging. These features were extracted from lumbar spine magnetic resonance images of 61 subjects with age ranging from 2 to 93 years. Principal component analysis is used to transform complex and multivariate feature space to a smaller meaningful representation. PCA transformation provided 2D visualization and knowledge of variations among spinal features. Further useful information about correlation among the spinal features is acquired through factor analysis. The knowledge of age related changes in spinal features are important in understanding different spine related problems.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QP Physiology | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
Library of Congress Subject Headings (LCSH): | Spine -- Aging, Data mining, Medicine -- Data processing | ||||||||
Journal or Publication Title: | IEEE Journal of Biomedical and Health Informatics | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 2168-2194 | ||||||||
Official Date: | March 2015 | ||||||||
Dates: |
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Volume: | Volume 19 | ||||||||
Number: | Number 2 | ||||||||
Page Range: | pp. 745-751 | ||||||||
DOI: | 10.1109/JBHI.2014.2328433 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 27 December 2015 | ||||||||
Date of first compliant Open Access: | 27 December 2015 | ||||||||
Funder: | University of Warwick |
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