Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion correction.

Journal: Medical physics
Published Date:

Abstract

BACKGROUND: Intra-scan rigid-body motion is a costly and ubiquitous problem in clinical magnetic resonance imaging (MRI) of the head.

Authors

  • Julian Hossbach
    Siemens Healthcare, Erlangen, Germany.
  • Daniel Nicolas Splitthoff
    Siemens Healthcare GmbH, Erlangen, Germany.
  • Stephen Cauley
    Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Bryan Clifford
    Siemens Medical Solutions USA, Boston, Massachusetts, USA.
  • Daniel Polak
    Siemens Healthcare GmbH, Erlangen, Germany.
  • Wei-Ching Lo
    Siemens Medical Solutions USA, Boston, Massachusetts, USA.
  • Heiko Meyer
    Siemens Healthcare, Application Development, Erlangen, Germany.
  • Andreas Maier
    Pattern Recognition Lab, University Erlangen-Nürnberg, Erlangen, Germany.