{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/9079"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/9079","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Rigid registration of MR and biplanar fluoroscopy","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Cosman, Eric (Eric Richard), 1977-"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. 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