Benjamin T Newman1,2, Ana Untaroiu1, and T. Jason Druzgal1,2
1Department of Radiology & Medical Imaging, Division of Neuroradiology, University of Virginia Health System, University of Virginia, Charlottesville, VA, United States, 2Brain Institute, University of Virginia, Charlottesville, VA, United States
1Department of Radiology & Medical Imaging, Division of Neuroradiology, University of Virginia Health System, University of Virginia, Charlottesville, VA, United States, 2Brain Institute, University of Virginia, Charlottesville, VA, United States
We propose the use of the NTU-DSI-122 template as a flexible, diffusion specific, means of registering subjects to stereotaxic MNI-space by fiber orientation distribution-based registration. We demonstrate it is more consistent than a leading intensity-based registration algorithm.
Study workflow illustrating the process of moving from native space images (three images on left), registering with the respective template for each method, applying the transform generated from that registration to the free water signal fraction map, and obtaining the free water signal fraction maps in stereotaxic MNI space (two images on right). This process was repeated 5 independent times for each of the 5 subjects.
The mean squared difference between each of the 5 independent registration attempts for each of the 5 subjects involved in analysis are presented, alongside the group mean (±SE). Grey bars represent the SyN intensity-based registration implemented in ANTs and yellow bars represent the WM-FOD based registration implemented in MRtrix.
