dc.contributor.advisor | Deborah Burstein. | en_US |
dc.contributor.author | Dray, Nicole | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2006-07-13T15:12:01Z | |
dc.date.available | 2006-07-13T15:12:01Z | |
dc.date.copyright | 2005 | en_US |
dc.date.issued | 2005 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/33280 | |
dc.description | Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. | en_US |
dc.description | Includes bibliographical references (leaves 87-88). | en_US |
dc.description.abstract | Several in vitro studies have shown that T2 is sensitive to some of the pathologic changes that occur in osteoarthritis (OA) such as hydration and the subsequent changes in macromolecular concentration, macromolecular structure, and tissue architecture. In this in vivo analysis, several techniques such as mean T2 and new techniques such as threshold analysis were used to determine if they could differentiate level of OA based on radiographic metrics such as the Kellgren/Lawrence scale (K/L) and Joint Space Grade (JSG) and delayed gadolinium-enhanced MRI of cartilage (dGEMRIC). In general, mean T2 in various regions of interest, normalized T2 as a function of distance from the bone, z score, comparison with dGEMRIC index, and threshold analysis were unable to differentiate between the level of OA or accurately represent important features in the images. In these OA images, the main features that appeared with disease were T2 mottling and both low and high lesions. Because of these heterogeneities in T2, none of the techniques presented in this investigation lead to conclusive results, and further work needs to be done for T2 to be diagnostic in an OA population. | en_US |
dc.description.statementofresponsibility | by Nicole Dray. | en_US |
dc.format.extent | 88 leaves | en_US |
dc.format.extent | 5591003 bytes | |
dc.format.extent | 5595118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | 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. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
dc.subject | Electrical Engineering and Computer Science. | en_US |
dc.title | An investigation into the efficacy of MRI T2 in an OA population | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M.Eng.and S.B. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.identifier.oclc | 62271275 | en_US |