Projects:RegistrationLibrary:RegLib C13

Back to ARRA main page
Back to Registration main page
Back to Registration Use-case Inventory

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

[

Download

• download input image data (Input Data, NRRD images, zip file 28 MB)
• download registration parameter presets file (.mrml file 20 kB)
• download guided tutorial (PowerPoint, xx MB)
• download full tutorial set (Input Data, presets, results, tutorial, zip file xx MB)

Link to User Guide: How to Load/Save Registration Parameter Presets

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