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Abstract #0841

Improving temporal resolution of 3D Arterial Spin Labeling perfusion imaging by combining CAIPIRINHA encoding and spatio-temporal TGV reconstruction

Stefan M. Spann1, Xingfeng Shao2, Danny JJ Wang2, Christoph S. Aigner1, Matthias Schloegl1, Kristian Bredies3, and Rudolf Stollberger1,4

1Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 2Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 3Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria, 4BioTechMed-Graz, Graz, Austria

Pseudo-continuous arterial spin labeling combined with 3D segmented readouts is recommended for acquiring ASL perfusion data. However, the total number of k-space encodings limits the trade-off between motion sensitivity and image blurring. To tackle this problem we implemented an accelerated 3D-GRASE sequence with a time-dependent 2D-CAIPIRINHA sampling pattern to increase the temporal incoherence between averages or PLDs. High quality images can be gained from the under-sampled time series by a variational image reconstruction approach with total-generalized-variation (TGV) regularization in space and time. This allows acquisition of single-shot 3mm isotropic ASL data with whole brain coverage within 1min22sec.

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