Rigid registration of MR and biplanar fluoroscopy
Name
46852645-MIT.pdf
Description
Full printable version
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8.28 MB
Format
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Checksum (MD5)
14fd6bd6ed4cfc154ffc938ede0b76d0
Author(s)
Cosman, Eric (Eric Richard), 1977-
Advisor(s)
William Wells, III.
Alternative Title
Rigid registration of magentic resonance imaging and biplanar fluoroscopy
Date Issued
2000
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (p. 105-108).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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