Int. J. Environ. Res. Public Health 2015, 12(11), 14800-14810; doi:10.3390/ijerph121114800
Predicting the Incidence of Human Cataract through Retinal Imaging Technology
1
Medical Education Center, Kaohsiung Armed Forced General Hospital, Kaohsiung City 802, Taiwan
2
Department of Pharmacy, Tajen University, Pintung City 90741, Taiwan
3
Institute of Biochemistry and Biotechnology, Chung Shan Medical University and Chung Shan Medical University Hospital, Taichung City 40201, Taiwan
4
Department of Optometry, Chung Shan Medical University, Taichung 40201, Taiwan
5
Department of Ophthalmology, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
6
Department of Optometry, Mackay Junior College of Medicine, Nursing, and Management, Taipei 112, Taiwan
7
Department of Optometry, Central Taiwan University of Science and Technology, Taichung 40601, Taiwan
†
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Paul Tchounwou
Received: 29 August 2015 / Revised: 8 November 2015 / Accepted: 13 November 2015 / Published: 19 November 2015
Abstract
With the progress of science, technology and medicine, the proportion of elderly people in society has gradually increased over the years. Thus, the medical care and health issues of this population have drawn increasing attention. In particular, among the common medical problems of the elderly, the occurrence of cataracts has been widely observed. In this study, we developed retinal imaging technology by establishing a human eye module with ray tracing. Periodic hole arrays with different degrees were constructed on the anterior surface of the lens to emulate the eyesight decline caused by cataracts. Then, we successfully predicted the incidence of cataracts among people with myopia ranging from −3.0 D to −9.0 D. Results show that periodic hole arrays cause severe eyesight decline when they are centralized in the visual center. However, the wide distribution of these arrays on the anterior surface of the lens would not significantly affect one’s eyesight. View Full-Text
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Horng, C.-T.; Sun, H.-Y.; Liu, H.-J.; Lue, J.-H.; Yeh, S.-M. Predicting the Incidence of Human Cataract through Retinal Imaging Technology. Int. J. Environ. Res. Public Health 2015, 12, 14800-14810.
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