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.