2015 Summer Project Week:TrackerlessMRIUSFusion

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  Projects List

Key Investigators

• Utsav Pardasani
• Adam Rankin
• Robert Owen, BK
• Andrey Fedorov, BWH

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 with 3 degrees of freedom.
• Given a pair of registered US-MRI images, the module calculates the similarity metric output perturbed between the two images.
• Plan to integrate image-features per Matthew Toews advice.
• Working toward expanding the code to work with prostate dataset from Andre Federov