Documentation:Nightly:Registration:RegistrationLibrary:RegLib C12

Slicer Registration Library Case #12: Liver Tumor Cryoablation

Input

fixed image/target		moving image

Slicer4 Modules used

• General Registration (BRAINS) module

Download (from NAMIC MIDAS)

Why 2 sets of files? The "input data" mrb includes only the unregistered data to try the method yourself from start to finish. The full dataset includes intermediate files and results (transforms, resampled images etc.). If you use the full dataset we recommend to choose different names for the images/results you create yourself to distinguish the old data from the new one you generated yourself.

• RegLib_12.mrb: input data only, use this to run the tutorial from the start (Slicer mrb file. 35 MB).
• RegLib_C12_full.mrb: includes raw data + all solutions and intermediate files, use to browse/verify (Slicer mrb file. 68 MB).

Objective / Background

We seek to align a pre-operative MRI with a contrast enhanced CT for surgical guidance.

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,

Procedures

• Phase I: Build Masks

Note: for illustration the example set contains 2 masks: one with only the liver and one also including spleen and kidney (Mask2). As shown in the results below, the liver-only mask is insufficiently constraining the registration, yielding a result that at first glance looks ok for the liver, but has significant misalignment in the remaining abdominal area. Hence it is advisable to stabilize the registration further by including more structures with good contrast in both images (Spleen, Kidney).

1. open the Editor module
2. select "MRI" as the master volume ; a new "MRI_label" is created
3. using the Brush tool, trace the liver contour from axial slices. Also include kidneys and spleen.
4. repeat the same for the CT.
5. you should end up with 2 label maps similar to those included in the example dataset. See snapshots in Result section below.
6. save the label maps as "MRI-label.nrrd" or similar
7. registration masks ideally extend beyond the structure boundary:
8. select the Dilate tool and click Apply 3-4 times to extend the mask area
9. repeat for both masks
10. In the Editor module, use the Dilate function to expand the outline by 2-3 pixels (click on Apply button 2-3 times)
11. save dilated labelmasks under new name (e.g. CT_mask.nrrd)

• Phase II: MR-CTpre registration (Affine)

1. open the General Registration (BRAINS) module
   1. Fixed Image Volume: CT
   2. Moving Image Volume: MRI
   3. Output Settings:
      1. Slicer BSpline Transform": none
      2. Slicer Linear Transform: create new transform, rename to "Xf1_MRI-CT_Affine"
      3. Output Image Volume: create new volume, rename to "MRI_Xf1" (we use this for ease of validation only)
   4. Initialization: select the useCenterOfROIAlign
   5. Registration Phases: check boxes for Rigid , Rigid+Scale and Affine
   6. Mask Option: select ROI button
      1. (ROI)Masking input fixed: CT_mask
      2. (ROI)Masking input moving: MRI_mask
   7. Leave all other settings at default
   8. click: Apply; runtime < 1 min (MacPro QuadCore 2.4GHz)
   9. this should generate a first alignment.

• Phase III: Nonrigid Registration

1. open the General Registration (BRAINS) module
   1. Fixed Image Volume: CT
   2. Moving Image Volume: MRI
   3. Output Settings:
      1. Slicer BSpline Transform": create new transform, rename to "Xf2_MRI-CT_BSpline"
      2. Slicer Linear Transform: none
      3. Output Image Volume: create new volume, rename to "MRI_Xf2"
   4. Initialization:
      1. Initialization Transform: select "Xf1_MRI-CT_Affine" created in Phase II above
      2. Initialization Transform Mode: Off
   5. Registration Phases: check boxes for BSpline only
   6. Main Parameters:
      1. Number Of Samples: 200,000
      2. B-Spline Grid Size: 7,7,3
   7. Mask Option: select ROI button
      1. (ROI)Masking input fixed: CT_mask
      2. (ROI)Masking input moving: MRI_mask
   8. Leave all other settings at default
   9. click: Apply

Registration Results

	unregistered MRI & CT
	registration masks
	affine registered MRI & CT
	nonrigid registered MRI & CT
	insufficient mask: nonrigid registered with liver mask only, note the misalignment in the remaining abdomen
	Color overlay of registered MRI onto CT, illustrating the fusion: MRI soft tissue contrast shows substructures & vasculature invisible on the CT

Acknowledgments

Thanks to Dr.Stuart Silverman and Dr. Nobuhiko Hata for sharing this case.