Arterial spin labeling (ASL) MRI, based on endogenous contrast from blood water, is used in research and diagnosis of cerebral vascular conditions. However, artifacts due to imperfect imaging conditions such as B-inhomogeneity (ΔB) could lead to variations in the quantification of relative cerebral blood flow (CBF). In this study, we evaluate a new approach using tagging distance dependent Z-spectrum (TADDZ) data, similar to the ΔB corrections in the chemical exchange saturation transfer (CEST) experiments, to remove the imaging plane B inhomogeneity induced CBF artifacts in ASL MRI.
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