An automated algorithm for photoreceptors counting in adaptive optics retinal images

Xu Liu; Yudong Zhang; Dai Yun

doi:10.1117/12.975947

15 October 2012 An automated algorithm for photoreceptors counting in adaptive optics retinal images

Xu Liu, Yudong Zhang, Dai Yun

Proceedings Volume 8419, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy; 84191Z (2012) https://doi.org/10.1117/12.975947
Event: 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2012), 2012, Xiamen, China

Abstract

Eyes are important organs of humans that detect light and form spatial and color vision. Knowing the exact number of cones in retinal image has great importance in helping us understand the mechanism of eyes’ function and the pathology of some eye disease. In order to analyze data in real time and process large-scale data, an automated algorithm is designed to label cone photoreceptors in adaptive optics (AO) retinal images. Images acquired by the flood-illuminated AO system are taken to test the efficiency of this algorithm. We labeled these images both automatically and manually, and compared the results of the two methods. A 94.1% to 96.5% agreement rate between the two methods is achieved in this experiment, which demonstrated the reliability and efficiency of the algorithm.

Citation Download Citation

Xu Liu, Yudong Zhang, and Dai Yun "An automated algorithm for photoreceptors counting in adaptive optics retinal images", Proc. SPIE 8419, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy, 84191Z (15 October 2012); https://doi.org/10.1117/12.975947

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