Image analysis of ocular fundus for retinopathy characterization [electronic resource]

• Ngôn ngữ: eng
• Ký hiệu phân loại: 545.7 Quantitative analysis
• Thông tin xuất bản: Berkeley, Calif. : Oak Ridge, Tenn. : Lawrence Berkeley National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2010
• Mô tả vật lý: Size: 2 : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 262448
• Chủ đề: 1. 60; 2. Algorithms; 3. Computers; 4. Diabetes mellitus; 5. Et al; 6. Evaluation; 7. Eyes; 8. Ground truth measurements; 9. Illuminance; 10. Morphology; 11. Patients

Tóm tắt

Automated analysis of ocular fundus images is a common procedure in countries as England, including both nonemergency examination and retinal screening of patients with diabetes mellitus. This involves digital image capture and transmission of the images to a digital reading center for evaluation and treatment referral. In collaboration with the Optometry Department, University of California, Berkeley, we have tested computer vision algorithms to segment vessels and lesions in ground-truth data (DRIVE database) and hundreds of images of non-macular centric and nonuniform illumination views of the eye fundus from EyePACS program. Methods under investigation involve mathematical morphology (Figure 1) for image enhancement and pattern matching. Recently, we have focused in more efficient techniques to model the ocular fundus vasculature (Figure 2), using deformable contours. Preliminary results show accurate segmentation of vessels and high level of true-positive microaneurysms.