Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.781843
Title: New techniques for quantification of biomarkers and metabolites by magnetic resonance imaging and spectroscopy
Author: Jenkins, Christopher W.
ISNI:       0000 0004 7967 4584
Awarding Body: Swansea University
Current Institution: Swansea University
Date of Award: 2019
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Abstract:
Since its early beginnings, almost five decades ago, MRI has revolutionised medical imaging, sustaining an active field of research into new applications, and improved understanding of the underlying mechanisms. Its complexity and flexibility, as a non-invasive imaging modality is simultaneously, an asset and a challenge. Quantitative imaging provides a particular challenge due to an increased sensitivity to experimental variations. The development of accurate and robust methods for quantitative magnetic resonance requires protocols to be carefully calibrated to produce consistent results. This necessitates the use of test objects with known, stable, configurable characteristics. This thesis is aimed at the development of these test objects, and their use within quantitative imaging, spectroscopy, and the development of new techniques. First, a set of magnetic resonance test objects were created, and their relaxation properties assessed. T1 and T2 are calculated using spin, and multi-spin echo sequences respectively. Several contrast and gelling agents were assessed, and the relaxivity estimated in each case. The protocol dependence of T1 estimation methods is examined using a phantom and in-vivo study. Saturation and inversion recovery estimations are compared to variable flip angle methods, and the statistical distributions of T1 maps quantified. A series of calibrated phantom studies are conducted, assessing the analysis methods used for in-vivo magnetic resonance spectroscopy. The concentration of brain metabolites is varied within liquid and gel phantoms, and the ratio of GABA to NAA is calculated using a number of analysis tools, and in-house software. Finally, a magnetic resonance spectroscopy Hamiltonian simulator is implemented in Matlab. The simulator is utilised by collaborators in developing a quantum control framework. Optimal control is used to generate chemically selective RF pulses, and initial experimental implementations explored. The quantitative methods were found to exhibit both acquisition and analysis method dependencies. However, results were largely consistent within methodology, highlighting the need for consistency across sites to ensure valid comparison. The theoretical development of novel RF pulses has been successful, but much work remains to approach experimental implementation.
Supervisor: Shermer, Sophie ; Hugtenberg, Richard Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.781843  DOI:
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