Difference between revisions of "Projects:RegistrationLibrary:RegLib C13"
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− | |0. | + | |0.57 x 0.57 x 5 mm<br> 512 x 512 x 33<br> ct pre RAS |
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+ | |0.57 x 0.57 x 5 mm<br> 512 x 512 x 37<br>ct post RAS | ||
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+ | |1.56 x 1.56 x 2.5 mm<br> 256 x 256 x 88<br>T1 RAS | ||
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+ | |1.56 x 1.56 x 6 mm<br> 256 x 256 x 36<br>T2 RAS | ||
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===Objective / Background === | ===Objective / Background === |
Revision as of 16:27, 2 March 2010
Home < Projects:RegistrationLibrary:RegLib C13Back to ARRA main page
Back to Registration main page
Back to Registration Use-case Inventory
Contents
Slicer Registration Use Case Exampe #13: Liver Tumor Cryoablation #2
Objective / Background
We seek to align the pre-operative CT&MRI with the post-operative CT.
Keywords
MRI, CT, IGT, intra-operative, liver, cryoablation, change detection, non-rigid registration
Input Data
- reference/fixed : T1 SPGR , 0.9375 x 0.9375 x 1.4 mm voxel size, axial, RAS orientation.
- moving: T1 SPGR , 0.9375 x 0.9375 x 1.2 mm voxel size, sagittal, RAS orientation.
Methods
Registration Results
[
Download
- download input image data (Input Data, NRRD images, zip file xx MB)
- download registration parameter presets file (.mrml file 20 kB)
- download guided tutorial (PowerPoint, xx MB)
- download full tutorial set (Input Data, presets, results, tutorial, zip file xx MB)
Link to User Guide: How to Load/Save Registration Parameter Presets
Discussion: Registration Challenges
- large differences in FOV
- strong differences in image contrast between MRI & CT
- contrast enhancement and pathology and treatment changes cause additional differences in image content
- we have strongly anisotropic voxel sizes with much less through-plane resolution