Difference between revisions of "Projects:RegistrationLibrary:RegLib C47"
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===Objective / Background === | ===Objective / Background === | ||
We seek to align a pre-operative MRI with the intra-operative CT for surgical guidance. | We seek to align a pre-operative MRI with the intra-operative CT for surgical guidance. | ||
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+ | ===Download === | ||
+ | *[[Media:RegLib_C47_Data.zip|'''download input image data''' <small> (Input Data, NRRD images, zip file 42 MB) </small>]] | ||
=== Keywords === | === Keywords === | ||
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=== Acknowledgments === | === Acknowledgments === | ||
Thanks to Dr.Stuart Silverman and Dr. Nobuhiko Hata for sharing this case. | Thanks to Dr.Stuart Silverman and Dr. Nobuhiko Hata for sharing this case. |
Revision as of 20:53, 9 May 2012
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updated for v4.1
Slicer Registration Library Case #47: Liver Tumor Cryoablation
Input
fixed image/target | moving image |
Slicer4 Modules used
Objective / Background
We seek to align a pre-operative MRI with the intra-operative CT for surgical guidance.
Download
Keywords
MRI, CT, IGT, intra-operative, liver, cryoablation, change detection, non-rigid registration
Input Data
- reference/fixed : pr-op CT, 0.95 x 0.95 x 5 mm voxel size
- moving: intra-op MRI, 0.78 x 0.78 x 2.5 mm axial,
Discussion: Registration Challenges
- large differences in FOV
- strong differences in image contrast between MRI & CT
- we have strongly anisotropic voxel sizes with much less through-plane resolution
- there is a related example for pre-operative contrast CT to MRI in Library Case #12
Procedures
- Phase I: MR-CTpre registration
- Following the concept of manual registration, we create an initial transform that roughly aligns the MR to the pre-op CT.
- open General Registraion (BRAINS) module
- Input Images
- Fixed Image Volume: CT_intraop
- Moving Image Volume: MRI_preop
- Output Settings:
- Slicer BSpline Transform: none
- Slicer Linear Transform: (create new transform, rename to: "Xf1_MRI-CT_Affine")
- Output Image Volume: none
- Registration Phases: select/check Rigid , Rigid+Scale, Affine
- Leave all other settings at default
- click: Apply
- Input Images
- switch to the Data module
- click on the "MRI_intra" node, and drag it onto the transform node "Xf1_MRI-CT_Affine" created above
- this should yield a rough alignment as shown in the result section below. We will use this to initialize a more refined nonrigid registration
- Phase II: nonrigid registration
- open General Registraion (BRAINS)module
- Input Images:
- Fixed Image Volume: CT_intraop
- Moving Image Volume: MRI_preop
- Output Settings:
- Slicer BSpline Transform: (create new transform, rename to: "Xf2_MRI-CT_BSpline")
- Slicer Linear Transform: none
- Output Image Volume create new volume, rename to "MRI_Xf2"
- Initialization:
- Initialization transform: select "" created in phase 1 above
- Initialize Transform Mode: Off
- Registration Phases: select/check BSpline only
- Main Parameters:
- Number Of Samples: 200,000
- B-Spline Grid Size: 7,7,5
- Leave all other settings at default
- click: Apply
- Input Images:
Registration Results (click to enlarge)
unregistered MRI & CT | |
after linear (affine) registration | |
after nonrigid registration | |
comparing kidney alignment at different registration stages |
Acknowledgments
Thanks to Dr.Stuart Silverman and Dr. Nobuhiko Hata for sharing this case.