Difference between revisions of "Projects:RegistrationLibrary:RegLib C13"

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*moving: 1.56 x 1.56 x 6  mm,  256 x 256 x 36
 
*moving: 1.56 x 1.56 x 6  mm,  256 x 256 x 36
  
=== Methods ===
 
#
 
 
=== Registration Results===
 
=== Registration Results===
 
This case is currently unsolved with standard Slicer 3.6 technology. Special/custom modifications to registration modules (SlicerIGT Registration) are under way and will be incorporated into future releases.
 
This case is currently unsolved with standard Slicer 3.6 technology. Special/custom modifications to registration modules (SlicerIGT Registration) are under way and will be incorporated into future releases.

Revision as of 20:48, 18 August 2011

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v3.6.3 Slicer3-6Announcement-v1.png Slicer Registration Library Case #13: Liver Tumor Cryoablation 2

Input

this is the fixed reference image. All images are aligned into this space lleft this is the moving image. The transform is calculated by matching this to the reference image this is the moving image. The transform is calculated by matching this to the reference image this is the moving image. The transform is calculated by matching this to the reference image
fixed image/target moving image moving image moving image

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 : 0.57 x 0.57 x 5 , 512 x 512 x 37 voxels
  • moving: 0.57 x 0.57 x 5 mm, 512 x 512 x 33 voxels
  • moving: 1.56 x 1.56 x 2.5 mm, 256 x 256 x 88
  • moving: 1.56 x 1.56 x 6 mm, 256 x 256 x 36

Registration Results

This case is currently unsolved with standard Slicer 3.6 technology. Special/custom modifications to registration modules (SlicerIGT Registration) are under way and will be incorporated into future releases.

Download


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