We evaluate the use of Independent Component Analysis (ICA) to separate physiological and other noise from Arterial Spin Labeling (ASL) perfusion MRI as has been shown for BOLD fMRI. We show that this approach improves tSNR and cerebral blood flow (CBF) quantification in a cohort of healthy young controls and a group of children with sickle cell disease.
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