Difference between revisions of "Projects:RegistrationLibrary:RegLib C14"
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|[[Image:RegLib_C14_Thumb_MRI.png|100px|lleft|this is the fixed reference image. All images are aligned into this space]] | |[[Image:RegLib_C14_Thumb_MRI.png|100px|lleft|this is the fixed reference image. All images are aligned into this space]] | ||
|[[Image:Arrow_left_gray.jpg|100px|lleft]] | |[[Image:Arrow_left_gray.jpg|100px|lleft]] | ||
| − | |[[ | + | |[[Image:RegLib_C14_Thumb_PET.png|100px|lleft|this is the moving image. The transform is calculated by matching this to the reference image]] |
|align="left"|LEGEND<br> | |align="left"|LEGEND<br> | ||
[[Image:Button_red_fixed.jpg|20px|lleft]] this indicates the reference image that is fixed and does not move. All other images are aligned into this space and resolution<br> | [[Image:Button_red_fixed.jpg|20px|lleft]] this indicates the reference image that is fixed and does not move. All other images are aligned into this space and resolution<br> | ||
Revision as of 13:41, 30 March 2010
Home < Projects:RegistrationLibrary:RegLib C14Back to ARRA main page
Back to Registration main page
Back to Registration Use-case Inventory
Contents
Slicer Registration Use Case Exampe #14: Intra-subject Brain PET-MRI with MRI orientation adjustment
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LEGEND
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 whole body CT baseline
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 whole body CT follow-up
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| MRI: 512 x 512 x 267 0.97 x 0.97 x 3.27 mm |
PET: 168 x 168 x 195 4.1 x 4.1 x 5 mm |
Objective / Background
Image fusion.
Keywords
PET-MRI, brain, intra-subject, image fusion
Input Data
reference/fixed : baseline MRI: 0.97 x 0.97 x 3.27 mm , PET: 4.7 x 4.7 x 3.3 mm
moving: PET: 4.1 x 4.1 x 5 mm
Registration Results
Original unregistered CT images.
Download
- download full tutorial set (Data+intermediate results+presets+tutorial, zip file ?? MB)
- download example data set (Data only, zip file 135 MB)
- download step-by-step tutorial (PowerPoint 2 MB)
- download registration parameter presets only (zip file with MRML scene files ?? kB)
Link to User Guide: How to Load/Save Registration Parameter Presets
Discussion: Registration Challenges
- the original DICOM files of the MRI have image orientation data stripped. Hence the volume does not load in correct orientation and needs to be adjusted
- the two series have different voxel sizes
- image content is very different in the PET
Discussion: Key Strategies
- we use the Volumes module to adjust the MRI voxel size based on the info in the DICOM header
- we use the Transforms module to reorient the MRI along the proper axes
- Register Images is used to automatically align the PET with the MRI
