Difference between revisions of "Projects:RegistrationLibrary:RegLib C12"
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{| style="color:#bbbbbb; background-color:#333333;" cellpadding="10" cellspacing="0" border="0" | {| style="color:#bbbbbb; background-color:#333333;" cellpadding="10" cellspacing="0" border="0" | ||
| − | |[[Image: | + | |[[Image:RegLib_C12_LiverTumor_MRI.png|200px|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: | + | |[[Image:RegLib_C12_LiverTumor_CTpre.png|200px|lleft|this is the moving image. The transform is calculated by matching this to the reference image]] |
| + | |align="left"|LEGEND<br> | ||
| + | |[[Image:RegLib_C12_LiverTumor_CTcontrast-pre.png|200px|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 16:17, 2 March 2010
Home < Projects:RegistrationLibrary:RegLib C12Back to ARRA main page
Back to Registration main page
Back to Registration Use-case Inventory
Contents
Slicer Registration Use Case Exampe #12: Liver Tumor Cryoablation
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LEGEND |
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LEGEND
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 axial
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 T1 SPGR
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| 0.44 x 0.44 x 5 mm 784 x 784 x 30 RAS |
0.68 x 0.68 x 1.5 mm 515 x 515 x 93 RAS |
Objective / Background
We seek to align the pre-operative CT with the intra-operative MRI.
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
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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
