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Detection of Glaucoma Using Anterior Segment Optical Coherence Tomography Images

  • P. PriyankaEmail author
  • V. Norris Juliet
  • S. Shenbaga Devi
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 31)

Abstract

Glaucoma is one of the major abnormalities in the eye which leads to permanent vision loss over time if left untreated. Prolonged high level of intraocular pressure (IOP) causes optic nerve damage leading to glaucoma. Glaucoma can be detected by analyzing the characteristics of the optic nerve head (ONH) and retinal nerve fiber layer (RNFL). The quantitative analysis of the ocular details obtained by the imaging techniques can help in disease management. The algorithm used here automatically extracts clinical features such as anterior chamber width, iris endpoint width, chamber height, lens vault, angle opening distance, and trabecular iris angle from AS-OCT images to find the condition of eye, namely, the presence or absence of glaucoma.

Keywords

AS-OCT Angle closure glaucoma Glaucoma Anterior segment 

Notes

Acknowledgements

The authors wish to thank Dr. Ronnie Jacob George, Director Research, Vision Research Foundation, Chennai for his valuable suggestions.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • P. Priyanka
    • 1
    Email author
  • V. Norris Juliet
    • 1
  • S. Shenbaga Devi
    • 2
  1. 1.Department of Electronics and Communication EngineeringCollege of Engineering Guindy, Anna UniversityChennaiIndia
  2. 2.Centre for Medical Electronics, Anna UniversityChennaiIndia

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