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PurposeMulti‐phase PCASL has been proposed as a means to achieve accurate perfusion quantification that is robust to imperfect shim in the labeling plane. However, there exists a bias in the estimation process that is a function of noise in the data. In this work, this bias is characterized and then addressed in animal and human data.MethodsThe proposed algorithm to overcome bias uses the initial...
The adiabatic inversion of blood in pseudocontinuous arterial spin labeling (PCASL) is highly sensitive to off‐resonance effects and gradient imperfections and this sensitivity can lead to tagging efficiency loss and unpredictable variations in cerebral blood flow estimates. This efficiency loss is caused by a phase tracking error between the RF pulses and the flowing spins. This article introduces...
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