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Abstract #0622

Evaluation of New ASL 3D GRASE Sequences Using Parallel Imaging, Segmented and Interleaved K-Space at 3T with 12- And 32-Channel Coils

David Feinberg1,2, Sudhir Ramanna2, Matthias Gunther3

1Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA; 2Advanced MRI Technologies, Sebastopol, CA, USA; 3Mediri, Heidelberg, Germany

Three new 3D GRASE ASL sequences utilizing parallel imaging (PI) segmentation and interleaved readout schemes were evaluated without changes in blood labeling and background suppression pulses. Comparisons were made at different spatial resolution in 64, 128 and 256 matrix images in 12- and 32-Channel head coils at 3T. All sequences reduced susceptibility artifacts by shortening RF pulse spacing in the CPMG sequence, The segmented and PI sequences reduced through-plane blurring by shortening echo train lengths. Higher bandwidth possible in 128 matrix scans reduced image distortions. The 32-Channel head coil consistently improved SNR and dependent image quality