v3.6.1 Slicer Registration Library Case 04:
Intra-subject Brain MR of Multiple Sclerosis: Multi-contrast series for lesion change assessment

Input


exam 1 PD	exam 1 T2	exam 1 T1-Gd


exam 2 PD	exam 2 T2	exam 2 T1-Gd

Modules

Slicer 3.6.1 recommended modules: BrainsFit, Robust Multiresolution Affine

Objective / Background

This scenario occurs in many forms whenever we wish to assess change in a series of multi-contrast MRI. The follow-up scan(s) are to be aligned with the baseline, but also the different series within each exam need to be co-registered, since the subject may have moved between acquisitions. Hence we have a set of nested registrations. This particular exam features a dual echo scan (PD/T2), where the two structural scans are aligned by default. The post-contrast T1-GdDTPA scan however is not necessarily aligned with the dual echo. Also the post-contrast scan is taken with a clipped field of view (FOV) and a lower axial resolution, with 4mm slices and a 1mm gap (which we treat here as a de facto 5mm slice).

Keywords

MRI, brain, head, intra-subject, multiple sclerosis, MS, multi-contrast, change assessment, dual echo, nested registration

Input Data

reference/fixed : PD baseline exam , 0.9375 x 0.9375 x 3 mm voxel size, axial acquisition, RAS orientation.
reference/fixed : T2 baseline exam , 0.9375 x 0.9375 x 3 mm voxel size, axial acquisition, RAS orientation.
moving: T1-GdDTPA baseline exam 0.9375 x 0.9375 x 5 mm voxel size, axial acquisition.
moving: PD follow-up exam 0.9375 x 0.9375 x 3 mm voxel size, axial acquisition.
tag: T2 follow-up exam 0.9375 x 0.9375 x 3 mm voxel size, axial acquisition.
moving:T1-GdDTPA follow-up exam0.9375 x 0.9375 x 5 mm voxel size, axial acquisition.

Registration Challenges

we have multiple nested transforms: each exam is co-registered within itself, and then the exams are aligned to eachother
potential pathology change can affect the registration
anisotropic voxel size causes difficulty in rotational alignment
clipped FOV and low tissue contrast of the post-contrast scan

Key Strategies

we first register the post-contrast scans within each exam to the PD
we also move the T2 exam within the same Xform
second we register the follow-up PD scan to the baseline PD
we then nest the first alignment within the second
we compare T1Gd to T1Gd, which went through 2 transforms. We correct residual misalignment with a 3rd correction transform
because of the contrast differences and anisotropic resolution we use Mutual Information as cost function for better robustness
we adjust the expected translation and rotational parameter settings to the visual assessment of the input data (i.e. initial misalignment)