Projects:RegistrationLibrary:RegLib C17

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v3.6.3 Slicer Registration Library Case #17:
Kidney pre-op MR to intra-op CT

Input

fixed image/target: intra-operative CT		moving image: per-operative MRI

Modules

• BRAINSfit
• for mask generation: Draw tool in the Editor and/or Fast-Marching Segmentation,

Keywords

CT, MRI, abdominal, image-guided therapy, IGT, tumor ablation

Input Data

• fixed: intra-operative CT, oblique, 0.58 x 0.58 x 3 mm voxel size, dimensions 512 x 512 x 20
• moving: opre-operative MRI lique, 1.2 x 1.2 x 4 mm voxel size, dimensions 320 x 240 x 64

Download

• Data
  • Registration Library Case 17: Kidney MR-CT (Data,Presets, Solution, zip file 11 MB)
• Presets
  • Registration Library Case 17: Parameter Presets (Slicer 3.6.3) (.mrml file 16 kB)
  • Link to User Guide: How to Load/Save Registration Parameter Presets

Registration Challenges

• intra-operative CT is acquired with limited FOV and very oblique position
• intra-operative CT contains artifacts from surgical needles
• both datasets have strong voxel anisotropy
• the region of interest (kidney) is small compared to the FOV, i.e. there is substantial "distracting" image content

Key Strategies

• manual alignment to obtain initial pose
• rough segmentation of both kidneys to mask "distracting" image content
• gradual increase in registration DOF.

Procedures

• Phase 1: obtain masks for kidney ROI

1. Use the Draw tool in the Editor and/or use the Fast-Marching Segmentation module to obtain segmentations of the kidney in both CT and MR image. In the example dataset, you can find those segementations as files "Probe1CT_seg.nrrd" and "MRl_seg.nrrd"
2. See the tutorials for the Editor and and segmentation methods for details on how to obtain an efficient segmentation.

• Phase 2: obtain initial manual alignment
  • Details in the manual registration tutorial and also in the Slicer FAQ

1. go to the Data module
2. right click on the "Scene" mode and select Insert New Transform. In the MRML edit field below, rename it to "Xf0_manual" or similar
3. In the Data module, drag the "MRI" image volume inside the"Xf0_manual" node
4. Select the views so that the MR and CT volumes are displayed in the slice views
5. Go to the Transforms module and adjust the translation and rotation sliders to adjust the current position. To get a finer degree of control, enter smaller numbers for the translation limits and enter rotation angles numerically in increments of a few degrees at a time

• Phase 3: automated rigid/affine alignment

1. Go to the BRAINSfit module
   1. select Presets "Xf1_Rigid" or "Xf2_Affine" or set the parameters as given below:
   2. fixed image: "Probe1CT", moving image: "MRI"
   3. Initialize with previous transform: select "Xf0_manual" from Phase 1 above
   4. Initialize Transform Mode: leave at default = OFF
   5. check Include Rigid registration Phase box. For affine also check ScaleVersor3D and Affine
   6. Output: under Slicer Linear Transform, select new and rename to "Xf1_Rigid" or "Xf2_Affine" or similar
   7. Registration Parameters: set "Number of Samples" to 100,000 at least
   8. Mask Processing: check ROI box, Input Fixed Mask select CT segmentation created in Phase 1 above. For Input Moving Mask select MRI segmentation created in Phase 1 above.
   9. Click Apply
2. return to the Data module and drag the MRI inside/outside the different registration transforms to compare the alignment
3. to obtain a resampled volume: move MRI inside Xform of choice and then right-click on the volume and select Harden Transforms. Save MRI under new name.

Registration Results

original unregistered
after manual initial alignment
after rigid registration
after affine registration