Keywords: Data Processing, Diffusion/other diffusion imaging techniquesSignal drift has been identified as a confounding factor in diffusion MRI (dMRI), causing increases variance and potential bias in derived parameter maps. In this work, we show that temporal signal drift is spatially dependent in human brain images for dMRI, thus calling for spatiotemporal corrections. We also show that signal drift can have a substantial effect on short-term repeatability of ADC and IVIM f obtained from data acquired with a protocol ordered by b-value as is commonly done in clinical practice.
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