2026-09-23T14:30:34Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/90792022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
William Wells, III.
Cosman, Eric (Eric Richard), 1977-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-08-24T19:30:58Z
2005-08-24T19:30:58Z
2000
2000
http://hdl.handle.net/1721.1/9079
46852645
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (p. 105-108).
This thesis discusses the the rigid registration of MR data and biplanar, fluoroscopic radiographs of the head, by means of an intensity-based, measure of similarity. We investigate a number of similarity measures which have been applied in other multimodal registration contexts, including that of CT-fluoroscopy registration. The similarity measures are evaluated by probing the space of transformations between the coordinate frames of an MR volume and biplanar, digitally-reconstructed radiographs (DRRs) produced from a corresponding CT volume. This method allowed us to know the "ground truth" of the registration, which could be established by proven methods for the 3D-3D CT-MR alignment. Furthermore, we propose a method of DRR production called voxel-projection which drastically reduces processing time relative even to optimized ray-casting methods. The computational efficiency of voxel-projection makes it a useful tool for the investigation of similarity measures in this 3D-2D context. Its speed may also enable 3D-2D registration methods which rely on evaluation of a similarity measure over the entirety of a DRR and model radiograph. Based on similarity measure characeristics observed in our probing experiments, and using the voxel-projection method, we adapted the uphill-simplex optimization algorithm to implement an intensity-based MR-fluoroscopy rigid registatration engine.
by Eric Cosman.
M.Eng.
108 p.
8582575 bytes
8582335 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Rigid registration of MR and biplanar fluoroscopy
Rigid registration of magentic resonance imaging and biplanar fluoroscopy
Thesis
application/pdf
Publication
unknown
unknown
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