Difference between revisions of "Projects:RegistrationLibrary:RegLib C14"
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===Input Data=== | ===Input Data=== | ||
*[[Image:Button_red_fixed_white.jpg|20px]]reference/fixed : baseline MRI: 0.97 x 0.97 x 3.27 mm , PET: 4.7 x 4.7 x 3.3 mm | *[[Image:Button_red_fixed_white.jpg|20px]]reference/fixed : baseline MRI: 0.97 x 0.97 x 3.27 mm , PET: 4.7 x 4.7 x 3.3 mm | ||
− | *[[Image: | + | *[[Image:Button_green_moving_white.jpg|20px]] moving: PET: 4.1 x 4.1 x 5 mm |
=== Registration Results=== | === Registration Results=== |
Revision as of 15:40, 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
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
Download
- download full tutorial set (Data+intermediate results+presets+tutorial, zip file 17 MB)
- download example data set (Data only, zip file 16 MB)
- download step-by-step tutorial (PowerPoint 1.2 MB)
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 and resolution in PET is low
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