Contextual detection of ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms.

E. Trucco, C.R. Buchanan, T. Aslam, B. Dhillon

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We report a novel prototype algorithm using contextual knowledge to locate ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms. We use high-resolution images acquired by an Optos ultra-wide-field-of-view (more than 200 degrees) scanning laser ophthalmoscope. We leverage the simultaneous occurrence of ischemia with a number of other signs, detected automatically, typical for the state of progress of the condition in a diabetic patient. The specific nature of ischemic and non-ischemic regions is determined with an AdaBoost learning algorithm. Preliminary results demonstrate above 80% pixel classification accuracy against manual annotations.
    Original languageEnglish
    Pages (from-to)6739-6742
    Number of pages4
    JournalIEEE Engineering in Medicine and Biology Society Conference Proceedings
    Volume2007
    Publication statusPublished - 2007
    Event29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007 - Lyon, France
    Duration: 23 Aug 200726 Aug 2007
    http://www.embc07.ulster.ac.uk/

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