Difference between revisions of "Projects:RegistrationDocumentation:DocumentationResources"

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[[Projects:ARRASuplements|Back to ARRA main page]] <br>
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[[Projects:RegistrationDocumentation|Back to Registration main page]] <br>
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[[Projects:RegistrationDocumentation:UseCaseInventory|Registration Use-case Inventory]] <br>
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=== 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)
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*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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=== Registration Evaluation ===
 
=== Registration Evaluation ===
*[[Modules:RegistrationMetrics-Documentation-3.5|Registration Metrics]]
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*[https://www.slicer.org/wiki/Modules:RegistrationMetrics-Documentation-3.5 Registration Metrics ()]

Latest revision as of 18:04, 10 July 2017

Home < Projects:RegistrationDocumentation:DocumentationResources

Back 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

Registration Evaluation