Automated spine measurement system
Quantitative assessment of the spine is an important aspect in the diagnosis, treatment and monitoring of spinal disorders, such as scoliosis. X-ray imaging allows for non-invasive diagnosis; however this is currently done qualitatively as images require interpretation by trained personnel...
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2011
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sg-ntu-dr.10356-451462023-03-03T15:33:00Z Automated spine measurement system Zhong, Qingyao. Poh Chueh Loo School of Chemical and Biomedical Engineering DRNTU::Science::Medicine::Optical instruments Quantitative assessment of the spine is an important aspect in the diagnosis, treatment and monitoring of spinal disorders, such as scoliosis. X-ray imaging allows for non-invasive diagnosis; however this is currently done qualitatively as images require interpretation by trained personnel and manual measurements of the spine are time-consuming and suffer from user variability. Poor image contrast, occlusions and noise adds to the difficulty. Computer analysis of the spine is much more efficient, but challenges faced include the suitability of computer at discerning complex visual information, which limits its application in analyzing like a trained radiologist. The goal of this project is to aid radiologists by developing an automated spine measurement system that is accurate, robust and reliable in the measurements of the dimensions of vertebral bodies, disc heights, posteroanterior displacements and Cobb angles, which are indicative of the extent of spine curvature and anomalies. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2011-06-09T06:23:46Z 2011-06-09T06:23:46Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45146 en Nanyang Technological University 91 p. application/pdf |
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DRNTU::Science::Medicine::Optical instruments Zhong, Qingyao. Automated spine measurement system |
description |
Quantitative assessment of the spine is an important aspect in the diagnosis, treatment and
monitoring of spinal disorders, such as scoliosis. X-ray imaging allows for non-invasive
diagnosis; however this is currently done qualitatively as images require interpretation by
trained personnel and manual measurements of the spine are time-consuming and suffer from
user variability. Poor image contrast, occlusions and noise adds to the difficulty.
Computer analysis of the spine is much more efficient, but challenges faced include the
suitability of computer at discerning complex visual information, which limits its application
in analyzing like a trained radiologist. The goal of this project is to aid radiologists by
developing an automated spine measurement system that is accurate, robust and reliable in
the measurements of the dimensions of vertebral bodies, disc heights, posteroanterior
displacements and Cobb angles, which are indicative of the extent of spine curvature and
anomalies. |
author2 |
Poh Chueh Loo |
author_facet |
Poh Chueh Loo Zhong, Qingyao. |
format |
Final Year Project |
author |
Zhong, Qingyao. |
author_sort |
Zhong, Qingyao. |
title |
Automated spine measurement system |
title_short |
Automated spine measurement system |
title_full |
Automated spine measurement system |
title_fullStr |
Automated spine measurement system |
title_full_unstemmed |
Automated spine measurement system |
title_sort |
automated spine measurement system |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/45146 |
_version_ |
1759853667892068352 |