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dc.contributor.advisorFischer, Kenneth J
dc.contributor.authorJohnson, Joshua E.
dc.date.accessioned2009-02-02T06:47:21Z
dc.date.available2009-02-02T06:47:21Z
dc.date.issued2008-01-01
dc.date.submitted2008
dc.identifier.otherhttp://dissertations.umi.com/ku:10124
dc.identifier.urihttp://hdl.handle.net/1808/4366
dc.description.abstractDue to the severity and continuing escalation in occurrences of degenerative joint diseases, it is vital to establish a means of detection and prevention that could lead to an improvement in quality of life. One such means is MRI-based modeling for joint contact analysis of in vivo functional loading. The purpose of this study was to validate models generated from a clinical MR scanner for future in vivo joint contact analyses. Models were tested using 3 cadaver forearm specimens and compared with experimental data. It was found that models were validated based on contact area. Direct contact area measurements were observed to be very close to experimental data. Model force measurements were reasonable, but did not agree with experimental data as well as contact area. Peak pressure data from the models were less consistent in correspondence with experimental data. Also, radiocarpal mechanics were investigated to determine the effect of inserting a sensor into the joint space. Magnitudes of bone motions were found to be greater with film inserted than without film. Model results showed contact areas to be higher with film than without film.
dc.format.extent110 pages
dc.language.isoEN
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectMechanical engineering
dc.titleValidation of Radiocarpal Joint Contact Models Based On Images from a Clinical MRI Scanner
dc.typeThesis
dc.contributor.cmtememberLuchies, Carl W.
dc.contributor.cmtememberFriis, Elizabeth A.
dc.thesis.degreeDisciplineMechanical Engineering
dc.thesis.degreeLevelM.S.
kusw.oastatusna
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
kusw.bibid6857390
dc.rights.accessrightsopenAccess


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