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oai:www.ideals.illinois.edu:2142/105005 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Sutton, Brad Liang, Zhi-Pei Aw, Natalie Wai-Yee 2019-08-23T20:35:50Z 2019-08-23T20:35:50Z 2021-08-24T09:15:24Z 2019-04-12 2019-05 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. Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01 The student, Natalie Aw, accepted the attached license on 2019-04-11 at 12:55. The student, Natalie Aw, submitted this Thesis for approval on 2019-04-12 at 12:21. This Thesis was approved for publication on 2019-04-12 at 13:59. DSpace SAF Submission Ingestion Package generated from Vireo submission #13565 on 2019-08-22 at 15:05:53 Made available in DSpace on 2019-08-23T20:35:50Z (GMT). No. of bitstreams: 2 AW-THESIS-2019.pdf: 1340391 bytes, checksum: 628929c03ff5bec8211c03ae021f1eee (MD5) LICENSE.txt: 4207 bytes, checksum: 3a276383c241d3ede4aec9d5e9916db3 (MD5) Previous issue date: 2019-04-12 Embargo set by: Seth Robbins for item 112124 Lift date: 2021-08-23T20:36:18Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only Restriction Lifted for Item 112124 on 2021-08-24T09:15:24Z. application/pdf http://hdl.handle.net/2142/105005 en Copyright 2019 Natalie W. Aw Magnetic resonance imaging MRI FENSI CSF shunt flow Cerebrospinal fluid flow quantification in the brain using magnetic resonance imaging text text Thesis M.S. Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign