Medical imaging utilizing contrast tracers has in recent years led to a new understanding of molecular transport dynamics and pathways in the living brain, the glymphatic system. In humans, intrathecal contrast enhanced magnetic resonance imaging (MRI) has been used as a major tool in clinical studies of the glymphatic system. While such image sequences have allowed novel qualitative insights, quantitative analysis requires careful image preprocessing. This chapter explains the computational steps needed to obtain quantitative information from a publicly available time series of cerebrospinal fluid contrast-enhanced MRI. All steps are accompanied by code snippets that allow the reader to reproduce the presented results. Finally, we show how to incorporate the preprocessed data into physical simulations of molecular transport in the human brain.