Difference between revisions of "Projects:RegistrationDocumentation:DocumentationResources"
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| + | [[Projects:ARRASuplements|Back to ARRA main page]] <br> | ||
| + | [[Projects:RegistrationDocumentation|Back to Registration main page]] <br> | ||
| + | [[Projects:RegistrationDocumentation:UseCaseInventory|Registration Use-case Inventory]] <br> | ||
| + | |||
=== Tutorial Topics === | === Tutorial Topics === | ||
*the main components: transform, similarity function, optimization, interpolation | *the main components: transform, similarity function, optimization, interpolation | ||
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*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) | *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) | *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=== | ===Coordinate Systems / Image Orientation=== | ||
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*http://mail.scipy.org/pipermail/nipy-devel/2009-July/001699.html | *http://mail.scipy.org/pipermail/nipy-devel/2009-July/001699.html | ||
* http://www.itk.org/ITK/applications/MutualInfo.html | * http://www.itk.org/ITK/applications/MutualInfo.html | ||
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| + | === Registration Evaluation === | ||
| + | *[https://www.slicer.org/wiki/Modules:RegistrationMetrics-Documentation-3.5 Registration Metrics ()] | ||
Latest revision as of 18:04, 10 July 2017
Home < Projects:RegistrationDocumentation:DocumentationResourcesBack to ARRA main page
Back to Registration main page
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
