Abstract #0825

Multi-Channel Registration of FA & T1-Weighted Images to Standard Space: Patients with Multiple Sclerosis

Eloy Roura¹, Torben Schneider², Pankaj Daga³, Marc Modat³, Nils Muhlert², Jordi Freixenet¹, Declan Chard², Sbastien Ourselin³, Xavier Llad⁴, Claudia A M Wheeler-Kingshott²

¹Computer Vision and Robotics Group, Department of Computer Architecture, , University of Girona, Girona, Spain; ²NMR Research unit. Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom; ³Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University College London, London, United Kingdom; ⁴Computer Vision and Robotics Group, Department of Computer Architecture,, University of Girona, Girona, Spain

In this work, we tested the performance of 4D multi-channel registration of T1-weighted (T1w) scans and diffusion tensor (DT) data to standard space in Multiple Sclerosis and healthy subjects. The Montreal Neurological Institute (MNI) template was chosen as target. We compared results with single-modality registration (3D) to their corresponding template. For healthy subjects the 4D multi-channel approach performed as well as the 3D approach when co-registering T1w and DT images to MNI atlas space independently. For patients the multi-channel approach improved the co-registration in the boundaries of the ventricles and also in the cortex compared to the 3D approach.