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Title:Cerebrospinal fluid flow quantification in the brain using magnetic resonance imaging
Author(s):Aw, Natalie Wai-Yee
Advisor(s):Sutton, Brad; Liang, Zhi-Pei
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Magnetic resonance imaging
CSF shunt flow
Abstract:Hydrocephalus is a severe brain condition in which cerebrospinal fluid (CSF) cannot properly drain into the spinal cord, resulting in a buildup of pressure. To relieve this pressure, a shunt is placed in the brain that drains the CSF. However, the failure rate of these shunts is high, requiring additional surgeries to check functionality or for replacement. As this is costly and invasive, a way to quantitatively measure the shunt flow without surgery would be valuable. In this work, we modify a previously successful technique that quantified blood flow in the brain to quantify CSF flow. This technique, called flow enhanced signal intensity (FENSI), uses magnetic resonance (MR) to gain a quick and accurate measurement. By adjusting imaging parameters from quantitative FENSI (qFENSI), we can optimize this sequence to be sensitive to CSF flow. We demonstrate the sensitivity of our technique down to 0.1 ml/min and up to 0.4 ml/min. Additionally, taking into account the T1 relaxation rate, we can fit a curve to the data points using simulations to predict the flow rate of the measured signal.
Issue Date:2019-04-12
Rights Information:Copyright 2019 Natalie W. Aw
Date Available in IDEALS:2019-08-23
Date Deposited:2019-05

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