Projects:RegistrationLibrary:RegLib C02
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Contents
Slicer Registration Use Case Exampe: Intra-subject Brain MR FLAIR to MR T1
Objective / Background
This scenario occurs in many forms whenever we wish to align all the series from a single MRI exam/session into a common space. Alignment is necessary because the subject likely has moved in between series.
Input Data
Registration Challenges
- we expect the amount of misalignment to be small
- we know the underlying structure/anatomy did not change, hence whatever residual misalignment remains is of technical origin.
- the different series may have different FOV. The additional image data may distract the algorithm and require masking
- the different series may have different contrast.
- individual series may contain motion or other artifacts
Procedure
- step-by step text instruction
- recommended parameter settings
- guided video tutorial
- power point tutorial
Results
- registration parameter presets file (load into slicer and run the registration)
- result transform file (load into slicer and apply to the target volume)
- result screenshots (compare with your results)
- result evaluations (metrics)