2015 Summer Project Week:TrackerlessMRIUSFusion
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Key Investigators
- Utsav Pardasani
- Adam Rankin
Project Description
Objective
- Work toward a real-time trackerless image-based registration that is constrained by a clinically relevant geometry. (With special emphasis on intra-operative neuroimaging)
- Can support calibration / registration with tracked-systems
Approach, Plan
- Evaluate and develop various image-similarity metrics in a geometrically constrained search space.
- Rather than relying on an optimizer, the goal would be to find a fast similarity metric that enables a dense sampling of the objective function search space.
- Make use of the BITE dataset for US-MRI images. http://www.bic.mni.mcgill.ca/Services/ServicesBITE
Progress
- Initial good results with the LC2 metric constrained to a craniotomy site.
- Given a pair of registered US-MRI images, the module calculates the similarity metric output perturbed between the two images.