Computer assisted characterization of cervical intervertebral disc degeneration in MRI
Computer assisted characterization of cervical intervertebral disc degeneration in MRI
A texture-based pattern recognition system is proposed for the automatic characterization of cervical intervertebral disc degeneration from saggital magnetic resonance images of the spine. A case sample of 50 manually segmented ROIs, corresponding to 25 normal and 25 degenerated discs, was analyzed and textural features were generated from each disc-ROI. Student's t-test verified the existence of statistically significant differences between textural feature values generated from normal and degenerated discs. This finding is indicative of disc image texture differentiation due to the degeneration of the disc. The generated features were employed in the design of a pattern recognition system based on the Least Squares Minimum Distance classifier. The system achieved a classification accuracy of 94{%} and it may be of value to physicians for the assessment of cervical intervertebral disc degeneration in MRI.
Breast, Calibration and fitting methods, Analysis and statistical methodss, Cardiovascular, Cluster finding, MR-angiography (MRA), MRI (whole body, Others), Pattern recognition
Michopoulou, S.
f21ba2a3-f5d3-4998-801f-1ae72ff5d92c
Boniatis, I.
a8249b99-0e26-4c8c-af61-1ca68874ea08
Costaridou, L.
bd123ce3-14f4-4b18-b863-341568e126c1
Cavouras, D.
7abbcc96-3c1a-4dc1-be55-85e372e491e7
Panagiotopoulos, E.
91f90d97-2047-4fd2-9e29-2346da1982e8
Panayiotakis, G.
37a8eb37-832e-4319-87bd-39b7cbb900ff
29 May 2009
Michopoulou, S.
f21ba2a3-f5d3-4998-801f-1ae72ff5d92c
Boniatis, I.
a8249b99-0e26-4c8c-af61-1ca68874ea08
Costaridou, L.
bd123ce3-14f4-4b18-b863-341568e126c1
Cavouras, D.
7abbcc96-3c1a-4dc1-be55-85e372e491e7
Panagiotopoulos, E.
91f90d97-2047-4fd2-9e29-2346da1982e8
Panayiotakis, G.
37a8eb37-832e-4319-87bd-39b7cbb900ff
Michopoulou, S., Boniatis, I., Costaridou, L., Cavouras, D., Panagiotopoulos, E. and Panayiotakis, G.
(2009)
Computer assisted characterization of cervical intervertebral disc degeneration in MRI.
Journal of Instrumentation, 4 (5), [P05022].
(doi:10.1088/1748-0221/4/05/P05022).
Abstract
A texture-based pattern recognition system is proposed for the automatic characterization of cervical intervertebral disc degeneration from saggital magnetic resonance images of the spine. A case sample of 50 manually segmented ROIs, corresponding to 25 normal and 25 degenerated discs, was analyzed and textural features were generated from each disc-ROI. Student's t-test verified the existence of statistically significant differences between textural feature values generated from normal and degenerated discs. This finding is indicative of disc image texture differentiation due to the degeneration of the disc. The generated features were employed in the design of a pattern recognition system based on the Least Squares Minimum Distance classifier. The system achieved a classification accuracy of 94{%} and it may be of value to physicians for the assessment of cervical intervertebral disc degeneration in MRI.
This record has no associated files available for download.
More information
Accepted/In Press date: 5 May 2009
Published date: 29 May 2009
Keywords:
Breast, Calibration and fitting methods, Analysis and statistical methodss, Cardiovascular, Cluster finding, MR-angiography (MRA), MRI (whole body, Others), Pattern recognition
Identifiers
Local EPrints ID: 487908
URI: http://eprints.soton.ac.uk/id/eprint/487908
ISSN: 1748-0221
PURE UUID: dca6482c-8d0b-4bee-a162-f598bcb4c8e5
Catalogue record
Date deposited: 08 Mar 2024 18:04
Last modified: 17 Mar 2024 07:57
Export record
Altmetrics
Contributors
Author:
S. Michopoulou
Author:
I. Boniatis
Author:
L. Costaridou
Author:
D. Cavouras
Author:
E. Panagiotopoulos
Author:
G. Panayiotakis
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics