A data adaptive approach to the robust fitting of PET data: Application to group and test-retest analysis

Abstract

Model fitting of PET time activity curves (TACs) is typically accomplished according to the least squares (LS) criterion, which is optimal for data with Gaussian distributed errors, but not robust in the presence of outliers (e.g., head motion). In contrast, quantile regression (QR) is an alternative for robust fitting that provides estimates not heavily… (More)

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