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School of Computer Science

Lincoln School of Computer Science
University of Lincoln
Brayford Pool
Lincoln
LN6 7TS
Web Enquiries Tel + 44 (0)1522 882000
Minicom 01522 886055

Predicting and Diagnosing Disorders

There is some strong research evidence about the relationships between vascular system disorders and vascular network measurements. These relationships are currently somewhat fuzzy due to the imprecision of current measurement techniques, lack of software and insufficient cooperation between medical and non-medical researchers. We have built accurate and precise measurement algorithms, and have established a strong cooperation relationship with medical researchers by introducing an automated system without human intervention. This greatly reduces the workload involved in extracting manual or semi manual measurements, potentially allowing us to greatly increase the number of samples in medical studies. This allows for the study of correlations and differentiation between retinal graphs, both between subjects and (for progression) within subjects. This will support the quantification of pathological conditions including venous beading, arterial nicking, tortuosity and neovascularization. The accurate segmentation of retinal vessels provide an opportunity for researchers who are working on non vessel features such as haemorrhages and microaneurysms (HMAs), hard exudates, drusen and cotton wool spots, to develop their methods without any negative side effects caused by the vessel network. During processing the ESP algorithm detects some non-vessel objects and subsequently classifies them as non vessel segments. These may be useful for subsequently classification as potential lesions.


For many retinal diseases the primary indicators are lesions – either dark lesions (HMAs) or white lesions (exudates, drusen and cotton wool spots). These lesions are often faint and difficult to accurately detect and classify. We have developed methods based on level set methods (contour finding) that very accurately segment potential lesions, leading to improved classification accuracy. We are studying the use of this technology in diagnosis of diabetic retinopathy.

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Dr. Bashir Al-Diri (PhD., MSc., BSc., FHEA)
Lincoln School of Computer Science
University of Lincoln
Brayford Pool
Lincoln LN6 7TS
United Kingdom
Email My Webpage Phone: +44 1522 837111
Fax: +44 1522 886974