Blind Sparse Motion MRI with Linear Subpixel Interpolation

Anita Möller, Marco Maaß, Alfred Mertins


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.
Original languageEnglish
Title of host publicationBildverarbeitung für die Medizin 2015
EditorsHeinz Handels, Thomas Martin Deserno, Hans-Peter Meinzer, Thomas Tolxdorff
Number of pages6
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Publication date25.02.2015
ISBN (Print)978-3-662-46223-2
ISBN (Electronic)978-3-662-46224-9
Publication statusPublished - 25.02.2015
EventWorkshop on Bildverarbeitung fur die Medizin 2015 - Universität zu Lübeck, Lübeck, Germany
Duration: 15.03.201517.03.2015


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