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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