eprintid: 10205044
rev_number: 8
eprint_status: archive
userid: 699
dir: disk0/10/20/50/44
datestamp: 2025-03-13 09:50:52
lastmod: 2025-03-13 09:50:52
status_changed: 2025-03-13 09:50:52
type: thesis
metadata_visibility: show
sword_depositor: 699
creators_name: Thomson, Emma
title: Quantifying Cerebral Blood Volume and Intravascular Water Residence Time Using Non-Contrast Magnetic Resonance Fingerprinting
ispublished: unpub
divisions: UCL
divisions: B04
divisions: F42
note: Copyright © The Author 2025. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
abstract: Neurodegenerative diseases, such as multiple sclerosis (MS) and Alzheimer’s Disease (AD) have been linked to increased permeability of the blood brain barrier (BBB) [1]. This presents a need to image the BBB in vivo and non-invasively to detect and monitor dysfunction. This thesis sought to determine the feasibility of the quantification of blood volume and water exchange across the BBB through the combination of a spoiled gradient echo sequence and the emergent technique of magnetic reso nance fingerprinting. An acquisition protocol was simulated and tested the sensitivity of the measurement, and its accuracy in the presence of variations in blood T1 (T1,b), tissue T1 (T1,t), and B1. It was demon strated that regional simultaneous quantification of vb, τb, T1,b,T1,t, and B + 1 is feasible with an optimised acquisition, and this was demonstrated in vivo. Implementation of denoising techniques to the experimental data provided a subtle benefit in the quantification of water exchange parameters. Furthermore, a preliminary optimisation of a deep neural network-enabled dictionary-free MR fingerprinting implementation was performed to demonstrate its feasibility as an alternative to standard fingerprint matching. Such a technique would result in the acceleration of matching and overall reduction in computational requirements. This thesis demonstrates the feasibility of MRF methods to quantify BBB dysfunction via water exchange measurements for the first time, provid ing a platform for future clinical research that may enable future early diagnostic measurements in neurological disease.
date: 2025-02-28
date_type: published
oa_status: green
full_text_type: other
thesis_class: doctoral_open
thesis_award: Ph.D
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2362983
lyricists_name: Thomson, Emma
lyricists_id: ELTHO35
actors_name: Thomson, Emma
actors_name: Jayawardana, Anusha
actors_id: ELTHO35
actors_id: AJAYA51
actors_role: owner
actors_role: impersonator
full_text_status: public
pages: 266
institution: UCL (University College London)
department: Medical Physics & Biomedical Engineering
thesis_type: Doctoral
citation:        Thomson, Emma;      (2025)    Quantifying Cerebral Blood Volume and Intravascular Water Residence Time Using Non-Contrast Magnetic Resonance Fingerprinting.                   Doctoral thesis  (Ph.D), UCL (University College London).     Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10205044/1/Thomson_Thesis.pdf