Difference between revisions of "2015 Summer Project Week:TrackerlessMRIUSFusion"

Revision as of 15:01, 24 June 2015

Home < 2015 Summer Project Week:TrackerlessMRIUSFusion

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

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

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

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 <h3>Progress</h3>
-* Initial good results with the LC2 metric constrained to a craniotomy site.
+* 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
 </div>
 </div>