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Abstract #3975

Reconstruction of asymmetrically undersampled high-resolution 23Na-MRI data after homodyne processing

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.

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