advertisement
Abstract #26000 Published in IGR 12-2
Convex hull based neuro-retinal optic cup ellipse optimization in glaucoma diagnosis
Zhang Z; Liu J; Cherian NS; Sun Y; Lim JH; Wong WK; Tan NM; Lu S; Li H; Wong TYConference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2009; 2009: 1441-1444
Glaucoma is the second leading cause of blindness. Glaucoma can be diagnosed through measurement of neuro-retinal optic cup-to-disc ratio (CDR). Automatic calculation of optic cup boundary is challenging due to the interweavement of blood vessels with the surrounding tissues around the cup. A Convex Hull based Neuro-Retinal Optic Cup Ellipse Optimization algorithm improves the accuracy of the boundary estimation. The algorithm's effectiveness is demonstrated on 70 clinical patient's data set collected from Singapore Eye Research Institute. The root mean squared error of the new algorithm is 43% better than the ARGALI system which is the state-of-the-art. This further leads to a large clinical evaluation of the algorithm involving 15 thousand patients from Australia and Singapore.
Z. Zhang. Institute for Infocomm Research, ASTAR, Singapore. zzhang@i2r.a-star.edu.sg
Classification:
2.14 Optic disc (Part of: 2 Anatomical structures in glaucoma)
6.9.1.1 Confocal Scanning Laser Ophthalmoscopy (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis > 6.9.1 Laser scanning)
6.9.2.2 Posterior (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis > 6.9.2 Optical coherence tomography)
6.8.2 Posterior segment (Part of: 6 Clinical examination methods > 6.8 Photography)
