Projects:RegistrationLibrary:RegLib C13

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Slicer Registration Use Case Exampe #13: Liver Tumor Cryoablation #2

					LEGEND this indicates the reference image that is fixed and does not move. All other images are aligned into this space and resolution this indicates the moving image that determines the registration transform.
post-op CT		pre-op CT	pre-op T1 MRI	pre-op T2 MRI
0.57 x 0.57 x 5 mm 512 x 512 x 37 RAS		0.57 x 0.57 x 5 mm 512 x 512 x 33 RAS	1.56 x 1.56 x 2.5 mm 256 x 256 x 88 RAS	1.56 x 1.56 x 6 mm 256 x 256 x 36 RAS

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 : 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.

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

• download input image data (Input Data, NRRD images, zip file 28 MB)

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