Projects:RegistrationLibrary:RegLib C19

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v3.6.1 Slicer3-6Announcement-v1.png Slicer Registration Library Case #19: Multi-contrast group analysis: intra- and inter-subject registration of multi-contrast MRI

Input

this is the main reference image. All images are aligned into this space this is the 1st intra-subject moving target, to be aligned with the main reference directly this is the 2nd intra-subject moving target, to be aligned with the main reference directly lleft this is both the fixed target for the 2nd subject and the moving image for inter-subject registration this is a moving image to be aligned indirectly to the main ref his is a moving image to be aligned indirectly to the main ref

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Target Brain T2 MRA Subject 2:T1 Subject 2:T2 Subject 2:MRA
  • T1: 1mm isotropic; 176 x 256 x 176
  • T2: 1mm isotropic; 192 x 256 x 128
  • MRA: 0.51 x 0.51 x 0.8 mm; 448 x 448 x 128

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Modules

Objective / Background

This is an example of multi-stage registration containing both intra- and inter-subject alignment. We have two sets of multi-sequence MRI for two subjects, each comprised of a T1, T2 and perfusion MRA scan. We ant everything aligned to a single space to enable regional or voxel-based group comparison.

Keywords

multi-stage registration, MRI, brain, head, multi-contrast, inter-subject, group analysis, MRA, T2

Methods

  1. align T2 and MRA of each subject to their respective T1 via an affine transform
  2. align the T1 of subject 2 to the T1 of subject 1 via a non-rigid transform, this establishes the inter-subject mapping
  3. combine the affine transforms of subject 2 T2 and MRA with the above nonrigid and resample the two images into the reference space

Registration Results

unregistered
registered

unregistered (left) and registered (right) series. Note the animated gif cycles through both subjects and intra-subject scans.

Download

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

Discussion: Registration Challenges

  • We have two separate sets of registrations to combine. While theoretically possible to simply align every scan with the reference directly, this is likely to produce inferior results. Basic rule of thumb is to register to the image that is closest in anatomy and contrast, in that order.
  • the MRA has a strongly clipped FOV and low tissue contrast
  • Currently (Slicer 3.6) the concatenation of linear and nonlinear transforms is not (yet) supported directly in slicer. However this is an easy and fast procedure that can be done with any text editor. We merely copy the affine portion from one transform file and paste it into the nonrigid transform file.

Discussion: Key Strategies

  1. For the intra-subject affine portion: BRAINSfit
  2. For the inter-subject nonrigid portion: Fast nonrigid BSpline
  3. For combining the transforms: copy and paste in a Text Editor
  4. For applying the transforms and resampling: Resample Scalar/Vector/DWI Volume

Acknowledgments

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