Thomas Christian Basse-Luesebrink1,2, Thomas
Kampf1, Andre Fischer1,3, Gesa Ladewig2,
Guido Stoll2, Peter Michael Jakob1,3
1Experimental Physics 5, University of
Wuerzburg, Wuerzburg, Germany; 2Neurology, University of
Wuerzburg, Wuerzburg, Germany; 3Research Center for Magnetic
Resonance Bavaria (MRB), Wuerzburg, Germany
Compressed
sensing (CS), a reconstruction method for undersampled MR data, allows a
significant reduction in experiment time. 19F MR is a suitable
target for CS since the 19F signal distribution in vivo is sparse.
However, spike artifacts appear highly pronounced in nonconvex CS
reconstructions of noisy 19F MR data. The present study focuses on
the reduction of spike artifacts in these CS reconstructions. Therefore, a
post-processing "de-spike algorithm" is proposed, using the fact that
the spatial position of spike artifacts depends on the chosen sampling
pattern. Numerical phantom simulations as well as ex- and in-vivo 19F
CSI experiments were performed.
Keywords