Abstract #1847

An MR Motion Correction toolbox for registration and evaluation

Thomas Küstner^1,2, Verena Neumann², Martin Schwartz^1,2, Christian Würslin^1,3, 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.

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