Nicolas G.R. Behl1, Peter Bachert1, Mark E. Ladd1, and Armin M. Nagel1,2
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Diagnostic and Interventional Radiology, University Medical Center Ulm, Ulm, Germany
Due
to the low concentration of 23Na in the human body, 23Na-MRI
suffers from long acquisition times Taq, especially for high nominal
spatial resolutions. In this work
we investigated the performance of homodyne data processing prior
to the iterative 3D-Dictionary-Learning Compressed Sensing reconstruction
(3D-DLCS) for the reconstruction of asymmetrically undersampled
radial 23Na-data, in order to take advantage of the point-symmetry
in k-space.
