Development and application of a non invasive image matching method to study spine biomechanics
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008. === Includes bibliographical references (p. 83-92). === Research on spine biomechanics is critical to understand pathology such as degenerative changes and low back pain. However, current study on in-vivo sp...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-448512019-05-02T16:36:07Z Development and application of a non invasive image matching method to study spine biomechanics Wang, Shaobai Guoan Li. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008. Includes bibliographical references (p. 83-92). Research on spine biomechanics is critical to understand pathology such as degenerative changes and low back pain. However, current study on in-vivo spine biomechanics is limited by the complex anatomy and invasive methodology. Modem clinical imaging techniques such as magnetic resonance and fluoroscope images, which are widely accessible nowadays, have the potential to study in-vivo spine biomechanics accurately and non-invasively. This research presents a new combined magnetic resonance and fluoroscope imaging matching method to study human lumbar vertebral kinematics and disc deformation during various physiologic functional activities. Validation and application of this method as well as discussion of its performance and applicability are detailed herein. by Shaobai Wang. S.M. 2009-03-16T19:51:06Z 2009-03-16T19:51:06Z 2008 2008 Thesis http://hdl.handle.net/1721.1/44851 301735091 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 92 p. application/pdf Massachusetts Institute of Technology |
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Mechanical Engineering. Wang, Shaobai Development and application of a non invasive image matching method to study spine biomechanics |
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008. === Includes bibliographical references (p. 83-92). === Research on spine biomechanics is critical to understand pathology such as degenerative changes and low back pain. However, current study on in-vivo spine biomechanics is limited by the complex anatomy and invasive methodology. Modem clinical imaging techniques such as magnetic resonance and fluoroscope images, which are widely accessible nowadays, have the potential to study in-vivo spine biomechanics accurately and non-invasively. This research presents a new combined magnetic resonance and fluoroscope imaging matching method to study human lumbar vertebral kinematics and disc deformation during various physiologic functional activities. Validation and application of this method as well as discussion of its performance and applicability are detailed herein. === by Shaobai Wang. === S.M. |
author2 |
Guoan Li. |
author_facet |
Guoan Li. Wang, Shaobai |
author |
Wang, Shaobai |
author_sort |
Wang, Shaobai |
title |
Development and application of a non invasive image matching method to study spine biomechanics |
title_short |
Development and application of a non invasive image matching method to study spine biomechanics |
title_full |
Development and application of a non invasive image matching method to study spine biomechanics |
title_fullStr |
Development and application of a non invasive image matching method to study spine biomechanics |
title_full_unstemmed |
Development and application of a non invasive image matching method to study spine biomechanics |
title_sort |
development and application of a non invasive image matching method to study spine biomechanics |
publisher |
Massachusetts Institute of Technology |
publishDate |
2009 |
url |
http://hdl.handle.net/1721.1/44851 |
work_keys_str_mv |
AT wangshaobai developmentandapplicationofanoninvasiveimagematchingmethodtostudyspinebiomechanics |
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1719043952513908736 |