Finding lumbar vertebrae by evidence gathering
Finding lumbar vertebrae by evidence gathering
Low back pain is a very common problem and lumbar segmental instability is one of the causes. It is essential to investigate lumbar spine movement in order to understand instability better and as an aid to diagnosis. Digital videofluoroscopy (DVF) provides a method of quantifying the motion of individual vertebra. In this paper, we apply a new version of the Hough transform (HT) to locate the lumbar vertebra automatically in DVF image sequences. At present, this algorithm has been applied to a calibration model and to the vertebra L3 in DVF images, and has shown to provide satisfactory results. Further work will concentrate on reducing the computational time for realtime application, on developing a spatiotemporal sequences method and on determining the spinal kinematics based on the extracted parameters.
0-904181-96-0
95-96
Institute of Physics and Engineering in Medicine
Zheng, Y.
4f14b365-2ced-4b7c-bc00-d1599153a12e
Nixon, M.S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Allen, R.
9d2d7d1d-d59d-4954-89b7-c48307a208e6
September 2000
Zheng, Y.
4f14b365-2ced-4b7c-bc00-d1599153a12e
Nixon, M.S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Allen, R.
9d2d7d1d-d59d-4954-89b7-c48307a208e6
Zheng, Y., Nixon, M.S. and Allen, R.
(2000)
Finding lumbar vertebrae by evidence gathering.
In Proceedings of the 6th Annual National Conference of the Institute of Physics and Engineering in Medicine, University of Southampton, 12-14 September.
Institute of Physics and Engineering in Medicine.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Low back pain is a very common problem and lumbar segmental instability is one of the causes. It is essential to investigate lumbar spine movement in order to understand instability better and as an aid to diagnosis. Digital videofluoroscopy (DVF) provides a method of quantifying the motion of individual vertebra. In this paper, we apply a new version of the Hough transform (HT) to locate the lumbar vertebra automatically in DVF image sequences. At present, this algorithm has been applied to a calibration model and to the vertebra L3 in DVF images, and has shown to provide satisfactory results. Further work will concentrate on reducing the computational time for realtime application, on developing a spatiotemporal sequences method and on determining the spinal kinematics based on the extracted parameters.
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Published date: September 2000
Additional Information:
Chapter: 8 Organisation: Institute of Physics and Engineering in Medicine
Venue - Dates:
6th Annual National Conference of the Institute of Physics and Engineering in Medicine, Southampton, UK, 2000-09-12 - 2000-09-14
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 254112
URI: http://eprints.soton.ac.uk/id/eprint/254112
ISBN: 0-904181-96-0
PURE UUID: 88eb636e-ee40-4f02-94ad-e07875249ccc
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Date deposited: 01 Oct 2001
Last modified: 17 Mar 2024 02:33
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Contributors
Author:
Y. Zheng
Author:
R. Allen
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