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Detection of RPE Region: Non-separated Inner and Outer Hyper-reflective Layer Using Neighbouring Pixel Connectivity Paradigm

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Ambient Communications and Computer Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 696))

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Abstract

The retina is composed of ten layers, with the retinal pigment epithelium (RPE) being the outermost layer tightly attached to the choroid. With the increased knowledge about the various functions performed by the RPE, the ophthalmologists have a better understanding of the various diseases leading to blindness. In this work, we propose a method to identify RPE region in optical coherence tomography (OCT) visualization of the retina. This paper focuses on detection of RPE region, the non-separated region between the inner and outer hyper-reflective layer (HRL). The proposed method comprises a bilateral filter for speckle de-noising while maintaining layer boundaries. Detection of inner HRL is a prominent research dimension having significant correlation with the human visual acuity. The proposed work validation is done with the ground truths (manually delineated by an expert panel). Evaluation of the proposed method is done on 220 images from 23 patients at different orientation styles with 90.45% correct detections.

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Acknowledgements

The authors would like to thank Dr. Purva Patwari, DNB (Ophthalmology), [Aravind Eye Hospital, Madurai], Vitreo-Retinal Surgeon, Retina Centre, Patwari Clinic, Ahmedabad, Dr. Arpan Patel, DOMS, DNB, [Aravind Eye Hospital, Madurai], Nihar Eye Care, Ahmedabad, for agreeing to be in the expert panel and manually delineating boundaries of the desired OCT images. Dr. Nishant Radke [M.S, Retina Fellow (Sankar Netralaya, CHENNAI)] and Dr. T. C. Patre [Former Medical Officer, Raipur] for helpful discussions on Vitreo-Retina. Dr. Charudutt Kalamkar [MBBS, MS, AIIMS-New Delhi] for helping us in gathering the OCT images and preparing our dataset. We thank all the above committee members for providing their ethical approval for this study. Also, acknowledge Shri Ganesh Vinayak Eye Hospital for providing the consent for preparation of the dataset. The authors would also like to thank Dr. Markus Mayer, Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstraße, Erlangen, Germany, for sharing information with us regarding his software (OCTSEG).

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Authors and Affiliations

  1. Department of CEA, GLA University, Mathura, 281406, India

    Piyush Mishra & Charul Bhatnagar

Authors
  1. Piyush Mishra
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  2. Charul Bhatnagar
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Correspondence to Piyush Mishra .

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Editors and Affiliations

  1. University of Murcia, Murcia, Spain

    Gregorio Martinez Perez

  2. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  3. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Munesh C. Trivedi

  4. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

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Mishra, P., Bhatnagar, C. (2018). Detection of RPE Region: Non-separated Inner and Outer Hyper-reflective Layer Using Neighbouring Pixel Connectivity Paradigm. In: Perez, G., Tiwari, S., Trivedi, M., Mishra, K. (eds) Ambient Communications and Computer Systems. Advances in Intelligent Systems and Computing, vol 696. Springer, Singapore. https://doi.org/10.1007/978-981-10-7386-1_62

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  • DOI: https://doi.org/10.1007/978-981-10-7386-1_62

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7385-4

  • Online ISBN: 978-981-10-7386-1

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