Methods to quantify CSF flow dynamics are important to study the physiology of intracranial pressure variations. Respiration influences the CSF flow, making real-time acquisitions necessary. This work investigates a high-resolution radial real-time flow sequence with golden angle acquisition and compressed sensing reconstruction at 7T for flow quantification of the CSF flow in the aqueduct. Phantom data shows that the proposed method accurately quantifies the slower aqueduct CSF flow oscillations caused by respiration, but underestimates faster cardiac oscillations. In vivo data shows good repeatability and an association between respiratory condition and net CSF flow.
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