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Abstract #21557 Published in IGR 10-3
Computer support for early glaucoma diagnosis based on the fused retinal images
Kolar R; Jan J; Kubecka LScripta Medica Facultatis Medicae Universitatis Brunensis Masarykianae 2006; 79: 249-260
The autofluorescence of the retinal tissue has a potential to be utilized as a feature for the early glaucoma diagnosis. In this paper, a new method for detection and segmentation of the zones with a higher level of autofluorescence around the optical disc in autofluorescent images is proposed. Areas of these small isles and their distances from the optical disc (OD) can be used as diagnostic parameters. The border of the OD is determined with the help of auxiliary infrared images, because of higher contrast between OD and surrounding tissue. Consequently, the multimodal registration method of both images to be fused must be applied, relying on our previous results. The region growing method with manually determined seed points is used for segmentation. We show that the semi-automatic segmentation approach offers a reasonable estimate in comparison with manually segmented regions. The estimate is well defined thus removing the undesirable inter-expert variance. LA: English
Dr. R. Kolar, Department of Biomedical Engineering, Brno University of Technology, Brno, Czech Republic
Classification:
6.9.5 Other (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis)
