Abstract #2001
3D-DLCS Reconstruction of Asymmetrically Undersampled Radial 23 Na-MRI
Nicolas G. R. Behl 1 , Christine Gnahm 1 , Peter Bachert 1 , and Armin M. Nagel 1
1
Medical Physics in Radiology, German Cancer
Research Center (DKFZ), Heidelberg, Germany
An asymmetrically undersampled 3D-radial k-space
sampling is proposed for
23
Na-MRI
in combination with a 3D-Dictionary-Learning Compressed
Sensing iterative reconstruction. The asymmetrical
undersampling takes advantage of the point symmetry in
k-space; 60% of the data is acquired with an
undersampling factor (USF) of 10 and the remaining 40%
with USF = 40. The results from simulated data show
reduced artifacts and increased SSIM and PSNR for the
3D-DLCS reconstruction in the case of asymmetric
undersampling. Reconstructions from in-vivo data show an
improved delineation of small structures and reduced
blurring.
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