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A novel method for automatic retinal detachment detection and estimation using ocular ultrasound image

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Abstract

This paper presents a novel method for automated detection of retinal detachment from ocular ultrasound image using digital image processing and computational techniques. Retinal detachment (RD) is an ocular emergency in which retina gets detached from the tissues lying underneath it and often requires immediate intervention to prevent rapid, irreversible vision loss. Direct fundoscopy and visual field testing are most common methods for the detection of RD. These methods are difficult to perform and they do not completely rule out retinal detachment. Generally, Ophthalmologists use ocular ultrasound to enhance their clinical acumen in detecting RD. Sometimes it is difficult to extract diagnostic features from ultrasound (USG) images due to its poor quality. Also, noise present in the image would cause misinterpretation during visual inspection;this demands development of intelligent and automated techniques for detection of retinal detachment. Further, the paper proposes a novel frame work for accurate and automatic retinal detachment using image processing techniques and mathematical analysis of detached area contour detected within the ocular globe. Furthermore, the estimation of diagnostic parameters, indicative of retinal detachment is also computed. Based on the mathematical analysis, three such parameters, percentage area of detached retina (PADR) compared to the ocular globe, angular width of detachment (α) and maximum radial distance of detachment to choroid layer beneath it (β), are calculated. These estimated parameters are very useful in determining the exact location and extent of retinal detachment. Results obtained through the proposed retinal detachment detection scheme are validated by the radiologist.

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Authors and Affiliations

  1. Department of Electronics & Communication Engineering MNNIT Allahabad, Allahabad, India

    Rajeev Gupta & Basant Kumar

  2. Centre for Development of Telematics, New Delhi, India

    Vishal Gupta

  3. Department of Radio Diagnosis and Imaging Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India

    Pramod Kumar Singh

  4. Department of Computer Sc. & Engineering, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, India

    Amit Kumar Singh

Authors
  1. Rajeev Gupta
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  2. Vishal Gupta
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  3. Basant Kumar
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  4. Pramod Kumar Singh
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  5. Amit Kumar Singh
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Correspondence to Amit Kumar Singh.

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Gupta, R., Gupta, V., Kumar, B. et al. A novel method for automatic retinal detachment detection and estimation using ocular ultrasound image. Multimed Tools Appl 79, 11143–11161 (2020). https://doi.org/10.1007/s11042-018-6032-3

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  • DOI: https://doi.org/10.1007/s11042-018-6032-3

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