| dc.contributor.advisor | Deborah Burstein. | en_US |
| dc.contributor.author | Gerber, Meredith L | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2006-07-31T15:25:58Z | |
| dc.date.available | 2006-07-31T15:25:58Z | |
| dc.date.copyright | 2005 | en_US |
| dc.date.issued | 2005 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/33707 | |
| dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. | en_US |
| dc.description | Includes bibliographical references (leaf 62). | en_US |
| dc.description.abstract | The recent development of techniques in magnetic resonance imaging allows for the noninvasive monitoring of cartilage for disease progression, effects of lifestyle change, and results of medical interventions. In particular, the dGEMRIC technique has been used. Prior dGEMRIC data have been two-dimensional. Magnetic resonance equipment can currently produce three-dimensional dGEMRIC data, but software that analyzes three-dimensional data sets is lacking in practicality. This research improved existing software to better handle three-dimensional dGEMRIC data sets. Improvements were made to better facilitate (1) image section selection, (2) segmentation, (3) T1 mapping, and (4) statistical data analysis. | en_US |
| dc.description.statementofresponsibility | by Meredith L. Gerber | en_US |
| dc.format.extent | 254 leaves | en_US |
| dc.format.extent | 11450756 bytes | |
| dc.format.extent | 11462535 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 | Graphical interface for quantitative monitoring of 3D MRI data | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 64696384 | en_US |
