Difference between revisions of "Projects:RegistrationDocumentation:DocumentationResources"
From NAMIC Wiki
(Created page with '**Topics for background tutorials: **the main components: transform, similarity function, optimization, interpolation **coordinate systems: physical vs. image space, RAS vs. LPI …') |
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| − | + | === 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) | |
| − | + | ||
| − | + | ===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/NA-MIC/Projects/NA-MIC_Kit/Coordinate_Systems | ||
***http://www.na-mic.org/Wiki/index.php/Execution_Model_Reference_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://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 | ||
Revision as of 16:15, 24 November 2009
Home < Projects:RegistrationDocumentation:DocumentationResourcesTutorial 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)
