Mark E. Bastin1, Benjamin D. Panter2, Robert J. Tweedie2, William J. Hossack3, Alan F. Heavens2
1Medical Physics, University of Edinburgh, Edinburgh, Midlothian, United Kingdom; 2Institute for Astronomy, University of Edinburgh, Edinburgh, United Kingdom; 3Physics, University of Edinburgh, Edinburgh, United Kingdom
Registration is a critical step in the calculation of imaging biomarkers derived from functional, diffusion, perfusion and permeability MRI. These datasets typically comprise many tens of volumes, and contain up to 100 individual images, registration of which leads to a significant computational overhead in the processing pipeline. In this abstract we present initial results from the application of a novel registration method based on the MOPED algorithm, developed in the field of astronomy, which has the potential to reduce significantly the time taken to align high dimensional MRI data.