Projects:RegistrationDocumentation:DocumentationResources

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Registration Use-case Inventory

Tutorial Topics

• the main components: transform, similarity function, optimization, interpolation
• coordinate systems: physical vs. image space, RAS vs. LPI etc.
• relevant image meta-data: image/axis orientation, image/CS origin, voxel size, dynamic range
• overview of scenarios and their different challenges: image pairings, DOF, multi-modal, intra/inter-subject etc.
• how to evaluate a match: tools & concepts
• common mistakes to avoid: inappropriate DOF, overly flat similarity metric, CS inconsistencies, FOV discrepancies, wrong interpolation, insufficient search (sample points, multi-scale, DOF scale-space)
• Troubleshooting guide: insufficient match - what next? Parameter modification, DOF change, initial alignment assist, fiducial help, ROI masking (e.g. skull stripping)
• tutorials (tutorial sets) should provide a slicer snapshot for which operation is tested, so user can resort if incompatibilities/version issues arise.

Coordinate Systems / Image Orientation

• http://www.na-mic.org/Wiki/index.php/NA-MIC/Projects/NA-MIC_Kit/Coordinate_Systems
• http://www.na-mic.org/Wiki/index.php/Execution_Model_Reference_Systems
• http://mail.scipy.org/pipermail/nipy-devel/2009-July/001699.html
• http://www.itk.org/ITK/applications/MutualInfo.html

Registration Evaluation

• Registration Metrics ()