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Automated System for the Personalization of Retinal Laser Treatment in Diabetic Retinopathy Based on the Intelligent Analysis of OCT Data and Fundus Images

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Intelligent Decision Technologies

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 309))

Abstract

In this work, we propose an automated system for the personalization of retina laser treatment in diabetic retinopathy. The system comprises fundus images processing methods, algorithms for photocoagulation pattern mapping, and intelligent analysis methods of OCT data and fundus images. The feasibility of introducing corrections at any interim stage of data processing makes for a safe treatment. A key module of the proposed software architecture is the system for the intelligent analysis of the photocoagulation pattern, allowing the proposed plan to be analyzed and the treatment outcome to be prognosticated. Working with the proposed system, the surgeon is able to map an effective photocoagulation pattern, which is aimed at providing a higher-quality diabetic retinopathy laser treatment when compared with the current approaches. The software developed is intended for the use of high-performance algorithms that can be parallelized using either a processor or a graphics processing unit. This allows achieving high data processing speed, which is so important for medical systems.

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Acknowledgements

This work was funded by the Russian Foundation for Basic Research under RFBR grants ## 19-29-01135 and the Ministry of Science and Higher Education of the Russian Federation within a government project of FSRC “Crystallography and Photonics” RAS.

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Authors and Affiliations

  1. Image Processing Systems Institute of the RAS—Branch of the FSRC “Crystallography and Photonics” RAS, Molodogvardeyskay, 151, 443001, Samara, Russia

    Nataly Ilyasova, Nikita Demin & Aleksandr Shirokanev

  2. Financial University Under the Government of the Russian Federation, Leningradsky pr-t, 49, Moscow, Russia

    Nikita Andriyanov

Authors
  1. Nataly Ilyasova
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  2. Nikita Demin
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  3. Aleksandr Shirokanev
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  4. Nikita Andriyanov
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Corresponding author

Correspondence to Nataly Ilyasova .

Editor information

Editors and Affiliations

  1. Gdynia Maritime University, Gydnia, Poland

    Ireneusz Czarnowski

  2. ‘Aurel Vlaicu’ University of Arad, Arad, Romania

    Robert J. Howlett

  3. KES International, Selby, UK

    Lakhmi C. Jain

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Ilyasova, N., Demin, N., Shirokanev, A., Andriyanov, N. (2022). Automated System for the Personalization of Retinal Laser Treatment in Diabetic Retinopathy Based on the Intelligent Analysis of OCT Data and Fundus Images. In: Czarnowski, I., Howlett, R.J., Jain, L.C. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 309. Springer, Singapore. https://doi.org/10.1007/978-981-19-3444-5_15

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