Difference between revisions of "2015 Summer Project Week:TrackerlessMRIUSFusion"
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<h3>Objective</h3> | <h3>Objective</h3> | ||
| − | * Work toward a real-time trackerless image-based registration | + | * Work toward a real-time trackerless image-based registration that is constrained by a clinically relevant geometry. |
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
* Evaluate and develop various image-similarity metrics in a geometrically constrained search space. | * Evaluate and develop various image-similarity metrics in a geometrically constrained search space. | ||
| + | * Implement the kernels in PyCuda | ||
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<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
Revision as of 08:55, 22 June 2015
Home < 2015 Summer Project Week:TrackerlessMRIUSFusion
Key Investigators
- Utsav Pardasani
Project Description
Objective
- Work toward a real-time trackerless image-based registration that is constrained by a clinically relevant geometry.
Approach, Plan
- Evaluate and develop various image-similarity metrics in a geometrically constrained search space.
- Implement the kernels in PyCuda
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.
