Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.674670
Title: Measurements of pre-clinical liver perfusion using arterial spin labelling MRI
Author: Ramasawmy, R.
ISNI:       0000 0004 5369 8668
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2015
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Abstract:
Magnetic Resonance Imaging (MRI) has been at the focus of medical research as its availability and fidelity has improved in the last thirty years. MRI offers both high spatial resolution and excellent soft tissue contrast compared to complimentary medical imaging techniques, without the need to expose patients to ionising radiation. Novel MRI methods that utilise the intrinsic body water signal are still being developed and refined. Arterial Spin Labelling (ASL) MRI provides a non-invasive method to measure tissue perfusion, which has been extensively applied in the brain, and demonstrated pre-clinically in the heart and kidneys. However, there is currently no literature reporting the development and use pre-clinical liver ASL – possibly due to complex methodology and quantification necessary in small animals. Clinical liver perfusion imaging is predominantly carried out using an injected Gadolinium-based contrast agent; this technique can be challenging to quantify, cannot be immediately re-administered and may have complications for patients with renal impairment. A methodology to measure liver perfusion without the need for a contrast agent would find utility in a number of different hepatic diseases; monitoring pathophysiology and therapy efficacy. This research investigates the feasibility of a pre-clinical measure of liver perfusion using ASL and its potential application to a pre-clinical model of hepatic disease. We aim to apply the method to monitor novel therapy efficacy in pre-clinical disease models, to eventually translate both therapy and hepatic ASL into the clinical environment.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.674670  DOI: Not available
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