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Predicting the Incidence of Human Cataract through Retinal Imaging Technology

Author

Listed:
  • Chi-Ting Horng

    (Medical Education Center, Kaohsiung Armed Forced General Hospital, Kaohsiung City 802, Taiwan
    Department of Pharmacy, Tajen University, Pintung City 90741, Taiwan
    Institute of Biochemistry and Biotechnology, Chung Shan Medical University and Chung Shan Medical University Hospital, Taichung City 40201, Taiwan
    These authors contributed equally to this work.)

  • Han-Ying Sun

    (Department of Optometry, Chung Shan Medical University, Taichung 40201, Taiwan
    Department of Ophthalmology, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
    These authors contributed equally to this work.)

  • Hsiang-Jui Liu

    (Department of Optometry, Mackay Junior College of Medicine, Nursing, and Management, Taipei 112, Taiwan)

  • Jiann-Hwa Lue

    (Department of Optometry, Mackay Junior College of Medicine, Nursing, and Management, Taipei 112, Taiwan)

  • Shang-Min Yeh

    (Department of Optometry, Central Taiwan University of Science and Technology, Taichung 40601, Taiwan)

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.

Suggested Citation

  • Chi-Ting Horng & Han-Ying Sun & Hsiang-Jui Liu & Jiann-Hwa Lue & Shang-Min Yeh, 2015. "Predicting the Incidence of Human Cataract through Retinal Imaging Technology," IJERPH, MDPI, vol. 12(11), pages 1-11, November.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:11:p:14800-14810:d:59129
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