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Abstract #4556

Optimised segmentation scheme for high-resolution multi-shot 3D-GRASE pCASL with improved point spread function

Enrico De Vita 1 , Marta Vidorreta 2 , Xavier Golay 3 , Maria Fernandez-Seara 2 , David L Thomas 3 , and Evelyne Balteau 4

1 Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, United Kingdom, 2 Neuroimaging Laboratory, Center for Applied Medical Research, University of Navarra, Spain, 3 Academic Neuroradiological Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, United Kingdom, 4 Cyclotron Research Centre, University of Lige, Liege, Belgium

Pseudo-continuous arterial spin labelling (pCASL) with 3DGRASE readout meets the recommendations of the AID network for clinical research and ASL applications to dementia. Typical spatial resolution in ASL is around 4x4x6mm^3. Single-shot 3DGRASE suffers from severe blurring in the partition/slice direction due to the excessively long echo train with respect to typical brain T2, especially when requiring higher spatial resolution and whole brain coverage. Multi-shot 3D-GRASE reduces echo train duration and related blurring. We propose a novel segmentation scheme for isotropic 3.2mm spatial-resolution acquisition combining in-plane and through-plane segmentation, improving through-plane point spread function and signal-to-noise ratio of 3DGRASE pCASL.

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