Difference between revisions of "Projects:RegistrationLibrary:RegLib C47"
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=== Slicer4 Modules used === | === Slicer4 Modules used === | ||
− | *[ | + | *[https://www.slicer.org/wiki/Documentation/4.1/Modules/BRAINSFit BrainsFit]''' |
===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. | ||
+ | |||
+ | ===Download === | ||
+ | *[[Media:RegLib_C47_Data.zip|'''download RegLib_C47 input image data''' <small> (NRRD images, transforms, Slicer Scene File, zip file 52 MB) </small>]] | ||
=== Keywords === | === Keywords === | ||
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*strong differences in image contrast between MRI & CT | *strong differences in image contrast between MRI & CT | ||
*we have strongly anisotropic voxel sizes with much less through-plane resolution | *we have strongly anisotropic voxel sizes with much less through-plane resolution | ||
− | *[[Projects:RegistrationLibrary: | + | *[[Projects:RegistrationLibrary:RegLib_C12|there is a related example for pre-operative contrast CT to MRI in Library Case #12]] |
+ | |||
=== Procedures === | === Procedures === | ||
*'''Phase I: MR-CTpre registration''' | *'''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. | #Following the concept of manual registration, we create an initial transform that roughly aligns the MR to the pre-op CT. | ||
− | #open [ | + | #open [https://www.slicer.org/wiki/Documentation/4.1/Modules/BRAINSFit General Registraion (BRAINS)]''' module |
##''Input Images'' | ##''Input Images'' | ||
###''Fixed Image Volume'': CT_intraop | ###''Fixed Image Volume'': CT_intraop | ||
###''Moving Image Volume'': MRI_preop | ###''Moving Image Volume'': MRI_preop | ||
##''Output Settings'': | ##''Output Settings'': | ||
− | ###''Slicer BSpline Transform'' none | + | ###''Slicer BSpline Transform'': none |
− | ###''Slicer Linear Transform'' (create new transform, rename to: "Xf1_MRI-CT_Affine") | + | ###''Slicer Linear Transform'': (create new transform, rename to: "Xf1_MRI-CT_Affine") |
− | ###''Output Image Volume'' none | + | ###''Output Image Volume'': none |
##''Registration Phases'': select/check ''Rigid'' , ''Rigid+Scale'', ''Affine'' | ##''Registration Phases'': select/check ''Rigid'' , ''Rigid+Scale'', ''Affine'' | ||
##Leave all other settings at default | ##Leave all other settings at default | ||
##click: ''Apply'' | ##click: ''Apply'' | ||
− | #switch to the [ | + | #switch to the [https://www.slicer.org/wiki/Documentation/4.1/Modules/Data Data module] |
##click on the "MRI_intra" node, and drag it onto the transform node "Xf1_MRI-CT_Affine" created above | ##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''' | *'''Phase II: nonrigid registration''' | ||
− | #open [ | + | #open [https://www.slicer.org/wiki/Documentation/4.1/Modules/BRAINSFit General Registraion (BRAINS)]'''module |
− | ##''Input Images'' | + | ##''Input Images'': |
###''Fixed Image Volume'': CT_intraop | ###''Fixed Image Volume'': CT_intraop | ||
###''Moving Image Volume'': MRI_preop | ###''Moving Image Volume'': MRI_preop | ||
##''Output Settings'': | ##''Output Settings'': | ||
− | ###''Slicer BSpline Transform'' | + | ###''Slicer BSpline Transform'': (create new transform, rename to: "Xf2_MRI-CT_BSpline") |
− | ###''Slicer Linear Transform'' none | + | ###''Slicer Linear Transform'': none |
###''Output Image Volume'' create new volume, rename to "MRI_Xf2" | ###''Output Image Volume'' create new volume, rename to "MRI_Xf2" | ||
− | ##''Initialization'' | + | ##''Initialization'': |
− | ##''Initialization transform'': select "" created in phase 1 above | + | ###''Initialization transform'': select "" created in phase 1 above |
− | ## | + | ###''Initialize Transform Mode'': Off |
##''Registration Phases'': select/check ''BSpline'' only | ##''Registration Phases'': select/check ''BSpline'' only | ||
− | ##''Main Parameters'' | + | ##''Main Parameters'': |
− | ##''Number Of Samples'': 200,000 | + | ###''Number Of Samples'': 200,000 |
− | ## ''B-Spline Grid Size'': 7,7,5 | + | ### ''B-Spline Grid Size'': 7,7,5 |
##Leave all other settings at default | ##Leave all other settings at default | ||
##click: ''Apply'' | ##click: ''Apply'' | ||
− | === Registration Results=== | + | === Registration Results (click to enlarge) === |
{| style="color:#bbbbbb; " cellpadding="10" cellspacing="0" border="0" | {| style="color:#bbbbbb; " cellpadding="10" cellspacing="0" border="0" | ||
|[[Image:RegLib_C47_unregistered.gif|300px|left|unregistered MRI & CT]] | |[[Image:RegLib_C47_unregistered.gif|300px|left|unregistered MRI & CT]] | ||
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|after linear (affine) registration | |after linear (affine) registration | ||
|- | |- | ||
− | |[[Image: | + | |[[Image:RegLib_C47_BSpline.gif|300px|left|after nonrigid registration]] |
|after nonrigid registration | |after nonrigid registration | ||
|- | |- | ||
Line 84: | Line 88: | ||
|} | |} | ||
− | |||
− | |||
=== 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. |
Latest revision as of 18:07, 10 July 2017
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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.