Projects:RegistrationLibrary:RegLib C35
From NAMIC Wiki
Revision as of 16:07, 1 March 2011 by Meier (talk | contribs) (Created page with 'Back to ARRA main page <br> Back to Registration main page <br> [[Projects:RegistrationDocumentation:UseCaseInv…')
Home < Projects:RegistrationLibrary:RegLib C35
Back to ARRA main page
Back to Registration main page
Back to Registration Use-case Inventory
Contents
v3.6.1 Slicer Registration Library Case #35: Mouse Colon Brain MRI
Input
case A | case B | |
fixed image 1/target MRI mouse 1 |
moving image MRI mouse 2 |
Modules
- Slicer 3.6.1 recommended modules: SurfaceRegistration, Transforms (manual registration), Fast Marching Segmentation, Histogram Matching, Model Maker,
Objective / Background
Aim is to register the two MRIs such that the colon aligns.
Download
- DATA
- See detailed pipeline with parameter settings below
Keywords
MRI, colon, mouse, masking, non-human, non-rigid,manual, unsolved
Input Data
- reference/fixed MRI: 0.12 x 0.12 x 0.1 mm, 512 x 512 x 94
- moving MRI: 0.09 x 0.09 x 0.1 mm, 512 x 512 x 94
Registration Challenges
- The image content to be registered is less than 10% of the total image and of low energy (close to background);
- there's large portions of the colon for which no matching/corresponding structures exist, i.e. a straightforward one-one mapping is not avail.
- other landmarks (kidneys etc.) are very different in position and size
Key Strategies
- This is a challenge case and currently unsolved. Best hopes are combinations of manual, fiducial and surface-based registration
- Slicer 3.6.1 recommended modules:
- Surface Registration
- Plastimatch
Registration Results
[[Image:RegLib_C35_Model.png |200px| very rough surface models of colon help visualize misalignment] very rough surface models of colon help visualize misalignment
original unregistered original, not registered
after surface registration (rigid) + manual correction after surface registration (rigid) + manual correction