2026-09-18T20:16:10Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/337072022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Deborah Burstein.
Gerber, Meredith L
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-07-31T15:25:58Z
2006-07-31T15:25:58Z
2005
2005
http://hdl.handle.net/1721.1/33707
64696384
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (leaf 62).
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.
by Meredith L. Gerber
M.Eng.
254 leaves
11450756 bytes
11462535 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Graphical interface for quantitative monitoring of 3D MRI data
Thesis
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