Blind Sparse Motion MRI with Linear Subpixel Interpolation

  • Anita MöllerEmail author
  • Marco Maaß
  • Alfred Mertins
Conference paper
Part of the Informatik aktuell book series (INFORMAT)


Vital and spontaneous motion causes major artifacts in MRI. In this paper a method is presented which reduces subpixel motion artifacts via computational post processing on a complete MR scan without additional data. On the compressed sparse MRI representation, translational subpixel motion is estimated iteratively from a fully sampled, but motion corrupted k-space, and motion free images are reconstructed by linear interpolation. Motion adjusted results are presented for the Shepp-Logan phantom and brainweb data.


Motion Estimation Compress Sensing Motion Correction Image Domain Human Brain Image 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Institute for Signal ProcessingUniversity of LübeckLübeckDeutschland

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