Arterial spin labeling (ASL) acquisitions at multiple post-labeling delays allow for appropriate kinetic models to be fitted to the data, potentially providing more accurate perfusion quantification. We investigated the influence of denoising strategies based on repetition averaging and ICA, together with the choice of an extended kinetic model with or without dispersion, on multi-delay ASL measurements from a group of small vessel disease patients and their age-matched controls. While ICA denoising generally improved model fitting, repetition averaging interacted with modeling dispersion and subject group, significantly impacting the estimation of perfusion and macrovascular contributions, mostly in arterial locations and with pathology.
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