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

E Trucco; C R Buchanan; T Aslam; B Dhillon

doi:10.1109/IEMBS.2007.4353908

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

Annu Int Conf IEEE Eng Med Biol Soc. 2007:2007:6740-43. doi: 10.1109/IEMBS.2007.4353908.

Authors

E Trucco¹, C R Buchanan, T Aslam, B Dhillon

Affiliation

¹ School of Computing, University of Dundee, UK. e.trucco@hw.ac.uk

PMID: 18003574
DOI: 10.1109/IEMBS.2007.4353908

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Diabetic Retinopathy / diagnosis*
Fluorescein Angiography / methods*
Humans
Image Interpretation, Computer-Assisted*
Ischemia / diagnosis*
Retinal Vessels / pathology