Thomas Küstner1,2, Verena Neumann2, Martin Schwartz1,2, Christian Würslin1,3, Petros Martirosian1, Sergios Gatidis1, Nina F. Schwenzer1, Fritz Schick1, Bin Yang2, and Holger Schmidt1
1Department of Radiology, University Hospital Tübingen, Tübingen, Germany, 2Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany, 3University of Stanford, Palo Alto, CA, United States
Motion
estimation is an important task in MRI. For retrospective motion correction,
there is often an image-based registration involved. Hence, the extraction of a
reliable and accurate motion model for the underlying application is mainly dependent
on the chosen image registration procedure. There are several different image
registration methods available, but visualization and evaluation of the derived
displacement fields and transformed images often remains an open topic. In the
spirit of a reproducible research and for streamlining and simplifying the process,
we provide GUIs and evaluation methods to perform and analyze image registration
techniques which will be made publicly available.
