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Neural network based spinal age estimation using lumbar spine magnetic resonance images
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Khan, Atif A., Iliescu, Daciana, Hines, Evor, Hutchinson, Charles E. and Sneath, R. J. S. (2013) Neural network based spinal age estimation using lumbar spine magnetic resonance images. In: 2013 4th International conference on, Intelligent Systems Modelling & Simulation, Bangkok, Thailand, 29-31 Jan 2013. Published in: 2013 4th International Conference on Intelligent Systems Modelling & Simulation (ISMS) pp. 88-93. ISBN 9781467356534. doi:10.1109/ISMS.2013.101 ISSN 2166-0662.
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Official URL: http://dx.doi.org/10.1109/ISMS.2013.101
Abstract
A human spine is a complicated structure of bones, joints, ligaments and muscles which all undergo a process of change with the age. This paper describes the existence of a pattern in degenerative process of human spine. Unveiling this pattern will be helpful in reassuring patients that the results of their scan are not unusual or indicative of any disease. A model based on artificial neural networks was formed with the help different spinal features such as vertebral height, disc height, disc signal and para-spinal muscles etc. These features of the lumbar spine vary with the age. Proposed model puts the degenerative changes of the lumbar spine into the context of a normal ageing process to estimate patient "spinal age". This research work will provide a more concrete view of spinal growth in human being with the help of statistical features. This work will be helpful in drawing a borderline between normal, under and over growth of the human spine with respect to the person's age.
Item Type: | Conference Item (Paper) | ||||
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Subjects: | Q Science > QP Physiology | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences > Population, Evidence & Technologies (PET) Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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Library of Congress Subject Headings (LCSH): | Spine -- Degeneration, Spine -- Magnetic resonance imaging | ||||
Journal or Publication Title: | 2013 4th International Conference on Intelligent Systems Modelling & Simulation (ISMS) | ||||
Publisher: | IEEE computer society | ||||
ISBN: | 9781467356534 | ||||
ISSN: | 2166-0662 | ||||
Official Date: | 29 January 2013 | ||||
Dates: |
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Page Range: | pp. 88-93 | ||||
DOI: | 10.1109/ISMS.2013.101 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 2013 4th International conference on, Intelligent Systems Modelling & Simulation | ||||
Type of Event: | Conference | ||||
Location of Event: | Bangkok, Thailand | ||||
Date(s) of Event: | 29-31 Jan 2013 |
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