Chowdhury, Rafat;
(2023)
Enabling clinical Hyperpolarised 13C-MR cancer imaging through phantom
development, pulse sequence optimisation
and quantitative image processing.
Doctoral thesis (Ph.D), UCL (University College London).
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Abstract
Hyperpolarised 13C-Magnetic Resonance Imaging (13C-MR), via dissolution Dynamic Nuclear Polarisation (d-DNP), is an emerging technique which uses a non-ionising contrast agent to quantify metabolic processes in vivo. Reactions such as the conversion of carbon-13 labelled pyruvate into lactate, in a process analogous to the Warburg effect, can now be observed in real time. Hyperpolarised 13C-MR has previously been used to demonstrate significant differences in metabolism between healthy tissue and prostate cancer. Clinical hyperpolarised 13C-MR studies are on-going with several imaging techniques presented in recent years. This thesis aims to develop physical and in silico platforms on which to optimise and test pulse sequences, whilst also optimising an existing pulse sequence and applying this in clinical hyperpolarised 13C-MR studies. Firstly, a test object was developed which successfully reduced the variance of analysis outcomes in hyperpolarised 13C-MR studies by incorporating an automated injection system for the hyperpolarised agent (coefficient of variation: 11-23% (n = 8)). Secondly, an existing numerical simulator was empirically validated (r: >0.95) and then used to identify the optimal spectral parameters for an ME-bSSFP sequence, for use in prostate cancer imaging during hyperpolarised 13C-MR studies. Building on this work the optimised ME-bSSFP sequence was used to image a small cohort (n = 5) of subjects with biopsy confirmed prostate cancer tumours in a hyperpolarised 13C-MR study. Significant differences between tumourous and healthy tissues were found (p < 0.01). Finally, a single case of pheochromocytoma is presented, where the subject underwent a hyperpolarised 13C-MR study, with differences in metabolism presented in cystic, solid and necrotic parts of the tumours.
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | Enabling clinical Hyperpolarised 13C-MR cancer imaging through phantom development, pulse sequence optimisation and quantitative image processing |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | Copyright © The Author 2023. 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. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10182763 |
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