Three-dimensional dictionary-learning reconstruction of (23)Na MRI data.

Journal: Magnetic resonance in medicine
PMID: 25989746

Abstract

PURPOSE: To reduce noise and artifacts in (23)Na MRI with a Compressed Sensing reconstruction and a learned dictionary as sparsifying transform.

Authors

  • Nicolas G R Behl
    Department of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Christine Gnahm
    Department of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Peter Bachert
    Department of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Mark E Ladd
    Department of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Armin M Nagel
    Department of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

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