Cerebrospinal fluid flow quantification in the brain using magnetic resonance imaging
Aw, Natalie Wai-Yee
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https://hdl.handle.net/2142/105005
Description
Title
Cerebrospinal fluid flow quantification in the brain using magnetic resonance imaging
Author(s)
Aw, Natalie Wai-Yee
Issue Date
2019-04-12
Director of Research (if dissertation) or Advisor (if thesis)
Sutton, Brad
Liang, Zhi-Pei
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Magnetic resonance imaging
MRI
FENSI
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.
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