Difference between revisions of "Projects:SlicerFAQ:DWI Registration"

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:#Resample the T2 reference to isotropic voxel size:[http://www.slicer.org/slicerWiki/index.php/Modules:ResampleVolume-Documentation-3.6 ''Resample Volume'' module] or [http://www.slicer.org/slicerWiki/index.php/Modules:ResampleScalarVectorDWIVolume-Documentation-3.6 ''Resample Scalar/Vector/DWI Volume'' module]
 
:#Resample the T2 reference to isotropic voxel size:[http://www.slicer.org/slicerWiki/index.php/Modules:ResampleVolume-Documentation-3.6 ''Resample Volume'' module] or [http://www.slicer.org/slicerWiki/index.php/Modules:ResampleScalarVectorDWIVolume-Documentation-3.6 ''Resample Scalar/Vector/DWI Volume'' module]
 
:#Resample the DWI (not DTI)  to isotropic voxel size: [http://www.slicer.org/slicerWiki/index.php/Modules:ResampleScalarVectorDWIVolume-Documentation-3.6 ''Resample Scalar/Vector/DWI Volume'' module]
 
:#Resample the DWI (not DTI)  to isotropic voxel size: [http://www.slicer.org/slicerWiki/index.php/Modules:ResampleScalarVectorDWIVolume-Documentation-3.6 ''Resample Scalar/Vector/DWI Volume'' module]
:#Extract the baseline and DTI from the isotropic DWI:  [http://www.slicer.org/slicerWiki/index.php/Modules:ResampleScalarVectorDWIVolume-Documentation-3.6 ''Resample Scalar/Vector/DWI Volume'' module]
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:#Extract the baseline and DTI from the isotropic DWI:  [http://www.slicer.org/slicerWiki/index.php/Modules:DiffusionTensorEstimation-Documentation-3.6 ''Diffusion Tensor Estimation'' module]
 
#Manually reorient DWI into orientation of T2:  
 
#Manually reorient DWI into orientation of T2:  
 
:#Resample DWI into new space and into isotropic voxel size
 
:#Resample DWI into new space and into isotropic voxel size

Revision as of 17:28, 11 November 2010

Home < Projects:SlicerFAQ:DWI Registration

How do I register a DWI/DTI image to a reference image ?

  • Problem: The DWI/DTI image is not in the same orientation as the reference image that I would like to use to locate particular anatomy; the DWI image is distorted and does not line up well with the structural images
  • Explanation: DWI images are often acquired as EPI sequences that contain significant distortions, particularly in the frontal areas. Also because the image is acquired before or after the structural scans, the subject may have moved in between and the position is no longer the same.
  • Fix: obtain a baseline image from the DWI sequence, register that with the structural image and then apply the obtained transform to the DTI tensor. The two chief issues with this procedure deal with the difference in image contrast between the DWI and the structural scan, and with the common anisotropy of DWI data.
  • you can find example cases of DWI registration in the Slicer Registration Case Library, which includes example datasets and step-by-step instructions. Find an example closest to your scenario and perform the registration steps recommended there.

Overall Strategy

  • if voxel size ratios are 1.5 or greater:
  1. Resample the T2 reference to isotropic voxel size:Resample Volume module or Resample Scalar/Vector/DWI Volume module
  2. Resample the DWI (not DTI) to isotropic voxel size: Resample Scalar/Vector/DWI Volume module
  3. Extract the baseline and DTI from the isotropic DWI: Diffusion Tensor Estimation module
  1. Manually reorient DWI into orientation of T2:
  1. Resample DWI into new space and into isotropic voxel size
  2. Convert DWI -> DTI, incl. mask & baseline extraction
  3. Register DTI_baseline to T2 (affine+nonrigid) w/o masking
  4. Resample DTI_mask with above transform to build mask for T2
  5. Repeat registration above, this time incl. masks and with higher BSpline grid size
  6. Resample DTI with above transform

Procedures

  • Note: if not interested in the preprocessing steps, download only the main dataset and skip phase I-III.
  • Phase I: resample T2 to isotropic voxel size
    1. original T2 has 0.5 x 0.5 x 3 mm voxel size, which we resample to 1 x 1 x 1 mm
    2. open Filtering / Resample Scalar Volume module
    3. Spacing: enter 1,1,1
    4. Interpolation: check hamming
    5. Input Volume: select T2raw, Output Volume: create new, rename to "T2"
    6. click: Apply
  • Phase II: Manually align DWI_raw to T2
  1. open Data module
  2. in MRML tree, select the "Scene" node, then right click & select "Insert Transform Node"
  3. click on MRML Node Inspector and rename Xform node to "Xf0_DWI_init"
  4. drag DWI_raw into the "Xf0_DWI_init" node
  5. go to "Transforms" module
  6. select T2 as background and DWI_raw as foreground, set fading slider halfway
  7. manually adjust transform to align the two volumes, particularly LR rotation and IS translation
  8. Save
  9. go to Filtering / Resample Scalar/Vector/DWI module
  10. Input Volume: "DWI_raw", Reference Volume: "T2", Output Volume: "create new Diffusion Weighted Volume", rename to "DWI_Xf0"
  11. Transform Node: select "Xf0_DWI_Init"
  12. Click: Apply
  13. this will correct both the initial misalignment and the anisotropy
  14. save new DWI_Xf0 to disk
  15. depending on RAM of your machine, consider deleting the original DWI_raw node
  • Phase III: DWI -> DTI
  1. open "Diffusion Tensor Estimation" module
  2. Input DWI Volume: DWI_Xf0, Output DTI Volume: create new, rename to "DTI"
  3. Output Baseline: create new, rename to "DTI_base"
  4. Otsu Threshold Mask: create new, rename to "DTI_mask"
  5. Estimation Parameters: reduce Otsu Omega Threshold" to 0.3
  6. check boxes for Remove Islands and Apply Mask
  7. Click: Apply
  • Phase IV: Register DTI (unmasked)
  1. open Registration : BrainsFit module (presets: Xf1_DTI-T2_unmasked)
    1. Registration Phases:
    2. set T2 as fixed and DTI_base as moving image
      1. select/check Initialize GeometryCenter Align
      2. select/check Include Rigid registration phase
      3. select/check Include ScaleVersor3D registration phase
      4. select/check Include Affine registration phase
      5. select/check Include BSpline registration phase
    3. Output Settings:
      1. select a new transform "Slicer BSpline Transform", rename to "Xf1_DTI-T2_unmasked"
      2. select a new volume "Output Image Volume, rename to "DT_base_Xf1"
    4. Registration Parameters: increase Number Of Samples to 200,000
    5. Registration Parameters: set Number Of Grid Subdivisions to 5,5,3
    6. Leave all other settings at default
    7. click: Apply; runtime < 1 min.
  • Phase V: Resample DTI_mask (presets: DTI_mask_Xf1)
    • we use the above Xform to produce a mask for the T2.
  1. Open Resample Scalar/Vector/DWI Volume module
    1. Input Volume: DTI_mask; Output volume: create new volume, rename to "DTI_mask_Xf1"
    2. Transform Node: "Xf1_DTI-T2_unmasked"
    3. select/check: output-to-input
    4. Interpolation Type: select: nn
    5. click: Apply
    6. Go to Volumes module, select the new "DTI_mask_Xf1", in the Info tab, check the Labelmap box
  • Phase VI:REGISTER DTI TO T2 with masking
  1. open Registration : BrainsFit module (presets: Xf2_DTI-T2_masked)
    1. set T2_Xf1 as fixed and DTI_baseline as moving image
      1. select/check Include Rigid registration phase
      2. select/check Include ScaleVersor3D registration phase
      3. select/check Include Affine registration phase
      4. select/check Include BSpline registration phase
    2. Output BSpline Transform: create new , rename to "Xf2_DTI-T2_masked"
    3. Output Volume: create new, rename to "DTI_base_Xf2"
    4. Registration Parameters: increase Number Of Samples to 200,000
    5. Registration Parameters: set Number Of Grid Subdivisions to 7,7,5
    6. Control of Mask Processing
      1. select/check: ROI (rightmost box)
      2. Input Fixed Mask: select "DTI_mask_Xf1"
      3. Input Moving Mask: select "DTI_mask"
    7. Leave all other settings at default
    8. click: Apply; runtime < 1 min.
  • Phase VII: Resample DTI
  1. Load the combined transform (Add Data)
  2. Open the Resample DTI Volume module (found under: All Modules)
    1. Input Volume: select DTI
    2. Output Volume: select New DTI Volume, rename to DTI_Xf2
    3. Reference Volume: select T2
    4. Transform Parameters: select transform "Xf2_DTI-T2_masked
    5. check box: output-to-input
    6. Leave all other settings at defaults
    7. Click Apply; runtime ~ 2 min.
  3. Go to the Volumes module, select the newly produced DTI_Xf2 volume
  4. under the Display tab, select Color Orientation from the Scalar Mode menu
  5. set T1 as background and new DTI_Xf2 volume as foreground
  6. Set fade slider to see DTI overlay onto the T2 image