2026-09-19T16:42:17Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/448512022-01-13T07:54:36Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Guoan Li.
Wang, Shaobai
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2009-03-16T19:51:06Z
2009-03-16T19:51:06Z
2008
2008
http://hdl.handle.net/1721.1/44851
301735091
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.
92 p.
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Development and application of a non invasive image matching method to study spine biomechanics
Thesis
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