Difference between revisions of "Non-rigid MR-CT Image Registration"

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= Non-rigid Registration of Pre-procedural MRI and Intra-procedural CT for CT-guided Cryoablation Therapy of Liver Cancer Tutorial=
= Non-rigid MR-CT Image Registration Tutorial=
 
  
 
==Overview==
 
==Overview==
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The case study is CT-guided liver tumor cryoablation.
 
The case study is CT-guided liver tumor cryoablation.
  
[[Image:nonrigid.png |NON-RIGID MR-CT IMAGE REGISTRATION: This tutorial demonstrates how to perform MR-CT and CT-CT non-rigid registrations. In a CT-guided cryoablation of a liver tumor, we can see the tumor on the preoperative MRI but not on the intra-operative CT image (only cryoprobes visible). The non-rigid registration is used for image fusion to better visualize tumor margins and location, as shown in this figure. |500px|thumb|right]]  
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[[Image:nonrigid.png |NON-RIGID MR-CT IMAGE REGISTRATION: As shown in this figure, non-rigid registration can enhance visualization of tumor margin and location. |500px|thumb|right]]  
  
 
=== Clinical significants ===
 
=== Clinical significants ===
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*A multi-modality non-rigid registration method can enhance visualization of tumor margins and location during the planning, targeting, and monitoring phases of CT imaging-guided cryoablation procedure.
 
*A multi-modality non-rigid registration method can enhance visualization of tumor margins and location during the planning, targeting, and monitoring phases of CT imaging-guided cryoablation procedure.
  
[[Image:nonrigid-cryo.png |IMAGE PROCESSING IN CRYOABLATION OF LIVER CASE: In CT-guided cryoablation, there are a non-rigid registration, (2) an affine registration and (3) a resampling as shown in this figure. These three tasks will be performed in this tutorial. |500px|thumb|right]]  
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[[Image:registrationStrategy.png |REGISTRATION STRATEGY / ROADMAP: |500px|thumb|right]]  
  
 
=== Tutorial Topics / Targets ===
 
=== Tutorial Topics / Targets ===
 
* Slicer Modules Used:
 
* Slicer Modules Used:
** N41ITKBiasField Correction
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** N4ITKBiasField Correction
 
** Editor
 
** Editor
 
** BRAINSFitIGT Registration
 
** BRAINSFitIGT Registration
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** Pre-operative abdominal MR with surface coil, showing liver
 
** Pre-operative abdominal MR with surface coil, showing liver
 
** Planning and Intra-operative CT with cryo-probe
 
** Planning and Intra-operative CT with cryo-probe
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** MRI Bias Field Intensity Correction
 
** MRI Bias Field Intensity Correction
 
* Registration
 
* Registration
** MRI-CT non-rigid registration
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** MRI-CT(#1) non-rigid registration
** CT-CT affine registration
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** CT(#1)-CT(#2) affine registration
 
** Resampling & Fusion
 
** Resampling & Fusion
  
 
==Tutorials==
 
==Tutorials==
  
'''Non-rigid MR-CT Image Registration Tutorial'''  [[Media:Non-rigid_MR-CT_Image_Registration_TutorialContestSummer2011.ppt|‏ [ppt]]][[Media:Non-rigid_MR-CT_Image_Registration_TutorialContestSummer2011.pdf|‏ [pdf]]]
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'''Non-rigid Registration of Pre-procedural MRI and Intra-procedural CT for CT-guided Cryoablation Therapy of Liver Cancer Tutorial'''  [[Media:Non-rigid_Registration_of_Pre-procedural_MRI_and_Intra-procedural_CT_for_CT-guided_Cryoablation_Therapy_of_Liver_Cancer_TutorialContestSummer2011.ppt‎|‏ [ppt]]][[Media:Non-rigid_Registration_of_Pre-procedural_MRI_and_Intra-procedural_CT_for_CT-guided_Cryoablation_Therapy_of_Liver_Cancer_TutorialContestSummer2011.pdf|‏ [pdf]]]
  
 
==Tutorial materials==
 
==Tutorial materials==
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'''Material data''':  
 
'''Material data''':  
 
*[[Media:Non-rigid_MR_CT_Image_RegistrationTutorialData_TutorialContestSummer2011.tar.gz| Non-rigid_MR_CT_Image_RegistrationTutorialData_TutorialContestSummer2011.tar.gz ]]
 
*[[Media:Non-rigid_MR_CT_Image_RegistrationTutorialData_TutorialContestSummer2011.tar.gz| Non-rigid_MR_CT_Image_RegistrationTutorialData_TutorialContestSummer2011.tar.gz ]]
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==Reference==
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This method is based on the registration workflow originally developed for prostate MRI registration as follows.
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A. Fedorov, K. Tuncali, F. Fennessy, J. Tokuda, N. Hata, S.W. Wells, R. Kikinis, and C.M. Tempany. Hierarchical Image Registration for Improved Sampling during 3T MRI-guided Transperineal Targeted Prostate Biopsy, ISMRM 2011
  
 
==People==
 
==People==

Latest revision as of 21:52, 22 June 2011

Home < Non-rigid MR-CT Image Registration

Non-rigid Registration of Pre-procedural MRI and Intra-procedural CT for CT-guided Cryoablation Therapy of Liver Cancer Tutorial

Overview

This tutorial demonstrates how to perform a pre-operated contrast enhanced MR image to intra-procedure CT image non-rigid registration. The case study is CT-guided liver tumor cryoablation.

NON-RIGID MR-CT IMAGE REGISTRATION: As shown in this figure, non-rigid registration can enhance visualization of tumor margin and location.

Clinical significants

  • Non-rigid registrations desirable to compensate for liver deformation caused by patient positioning, respiratory motion, and interventional manipulation.
  • A multi-modality non-rigid registration method can enhance visualization of tumor margins and location during the planning, targeting, and monitoring phases of CT imaging-guided cryoablation procedure.
REGISTRATION STRATEGY / ROADMAP:

Tutorial Topics / Targets

  • Slicer Modules Used:
    • N4ITKBiasField Correction
    • Editor
    • BRAINSFitIGT Registration
  • Image Processing Tasks Performed:
    • Intensity non-uniformly correction
    • Mask generation / segmentation
    • Inter-modality non-rigid image registration
  • Image Data Used:
    • Pre-operative abdominal MR with surface coil, showing liver
    • Planning and Intra-operative CT with cryo-probe



Overview

  • This tutorial will go through the following steps (in order):
  • Preprocessing
    • MRI mask generation
    • CT mask generation
    • MRI Bias Field Intensity Correction
  • Registration
    • MRI-CT(#1) non-rigid registration
    • CT(#1)-CT(#2) affine registration
    • Resampling & Fusion

Tutorials

Non-rigid Registration of Pre-procedural MRI and Intra-procedural CT for CT-guided Cryoablation Therapy of Liver Cancer Tutorial ‏ [ppt]‏ [pdf]

Tutorial materials

Material data:


Reference

This method is based on the registration workflow originally developed for prostate MRI registration as follows.

A. Fedorov, K. Tuncali, F. Fennessy, J. Tokuda, N. Hata, S.W. Wells, R. Kikinis, and C.M. Tempany. Hierarchical Image Registration for Improved Sampling during 3T MRI-guided Transperineal Targeted Prostate Biopsy, ISMRM 2011

People

Atsushi Yamada, Ph.D. (Research Associate, Brigham and Women's Hospital and Harvard Medical School)
Dominik S. Meier, Ph.D. (Assistant Professor, Brigham and Women's Hospital and Harvard Medical School)
Nobuhiko Hata, Ph.D. (Associate Professor, Brigham and Women's Hospital and Harvard Medical School)


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