2008 IGT Project Week Nonrigid MR-ULS Registration Algorithms for Neurosurgery, Prostate MRgFUS and Brachytherapy
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Team: Sandy Wells, Tina Kapur, Matt Toews, Nathan McDannold, Ben Schwartz, Steve Haker, Michel Audette, Nathan McDannold
Goals: A round table discussion of issues relating to multimodal (MR-US) registration for image-guided therapy.
Agenda
- Self-introductions
- Definition of relevant research issues
- Visual Inspection of data sets brought by participants
- Conclusions Wrap-up
Non-exhaustive List of Issues for Discussion
- Goals of Non-Rigid MR-US Registration?
- Use coarse, cost-effective inter-operative US imagery to update detailed preoperative MR imager, to enhance visualization during therapy.
- Requirements
- Clinical requirements: registration precision?
- Is MR-US registration necessary?
- State-of-the-art
- Existing systems?
- Real-time?
- Accuracy?
- Image Registration
- MR-US similarity measurement: mutual information, correlation ratio?
- Transforms: rigid, deformable? Outlier detection?
- 3DMR-2DUS slices? 3DMR-3DUS? 3DMR-3DUS reconstuction?
- Initialialization: 3D tracking of US probe?
- Freehand US?
- Robust?
- Updating Pre-operative Imagery
- What information is required? Rigid/non-rigid deformation? Resolution?
- Interpolation?
- Challenges
- Poor US image quality, occlusion, resection, poor visibility of anatomy
- Computational complexity
- Data
- Phantom data?
- Data sharing for benchmarking?
- Approach-based path planning
- Neurosurgical guidance can/should integrate knowledge of surgical approach: frontal, occipital, pterional, transnasal...
- Use knowledge of _specific_ critical tissues & likely eloquent areas in path planning
- Curvilinear neurosurgical path planning.