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Abstract #1461

Real-Time Imaging of Cerebrospinal Fluid Flow with Low-Rank and Subspace Modeling

Aiqi Sun1, Lekang Yin2, Bingyi Wang1, Hengfa Lu3, Peng Wu4, and Bo Zhao3,5
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China, 3Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, United States, 4Philips Healthcare, Shanghai, China, 5Oden Institute for ComputationalEngineering and Sciences, University of Texas at Austin, Austin, TX, United States

Synopsis

Keywords: Neurofluids, Velocity & FlowQuantification of cerebrospinal fluid (CSF) flow is critical for studying the physiological and pathological mechanisms of CSF dynamics and related neurological diseases. Conventional cine phase-contrast MRI provides an effective tool to quantify CSF flow, however, this method is not suitable for evaluating beat-by-beat flow variabilities associated with cardiac arrhythmia and/or respiratory regulation. This work presents a real-time flow MRI method at a spatial resolution of 0.5 mm and temporal resolution of 52 ms for assessment of CSF flow in cerebral aqueduct at 3T, which can well resolve beat-by-beat CSF flow variations. Its feasibility has been demonstrated in multiple healthy subjects.

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