Ramasawmy, R;
(2015)
Measurements of Pre-Clinical Liver Perfusion Using Arterial Spin Labelling MRI.
Doctoral thesis , UCL (University College London).
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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.
| Type: | Thesis (Doctoral) |
|---|---|
| Title: | Measurements of Pre-Clinical Liver Perfusion Using Arterial Spin Labelling MRI |
| Event: | UCL (University College London) |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1470663 |
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