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Title: Quantitative analysis of digital substraction angiograms
Author: Zou, Ping
ISNI:       0000 0001 3578 1060
Awarding Body: Sheffield
Current Institution: University of Sheffield
Date of Award: 2008
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Occlusive vascular disease (e.g. arteriosclerosis) is a major and growing health problem worldwide. New drug treatments - as opposed to conventional bypass surgery - have attracted much research interest but a key obstacle here is the lack of any objective methodology for assessing the effectiveness of these treatments (before and after studies). The clinical data sources are digital subtraction angiograms (DSAs) which are a routine assessment of patients presenting with symptoms of occlusive vascular disease. Novel image processing algorithms are required to analyse these DS A images which are of low quality though of high spatial resolution and likely to contain complex vascular networks. Ultimately, we aim to model the haemodynamic capacity of the patient's vascular system using the geometric information extracted from DSAs.
Supervisor: Not available Sponsor: Not available
Qualification Name: Dhil--Sheffield, 2008 Qualification Level: Doctoral
EThOS ID:  DOI: Not available