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Modeling of Fundus Laser Exposure for Estimating Safe Laser Coagulation Parameters in the Treatment of Diabetic Retinopathy

Author

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  • Aleksandr Shirokanev

    (Department of Technical Cybernetics, Samara National Research University, 443086 Samara, Russia
    Image Processing Systems Institute of the RAS—Branch of the FSRC “Crystallography and Photonics” RAS, 443001 Samara, Russia)

  • Nataly Ilyasova

    (Department of Technical Cybernetics, Samara National Research University, 443086 Samara, Russia
    Image Processing Systems Institute of the RAS—Branch of the FSRC “Crystallography and Photonics” RAS, 443001 Samara, Russia)

  • Nikita Andriyanov

    (Department of Data Analysis and Machine Learning, Financial University under the Government Russian Federation, 125993 Moscow, Russia)

  • Evgeniy Zamytskiy

    (Department of Ophthalmology, Samara State Medical University, 443099 Samara, Russia)

  • Andrey Zolotarev

    (Samara Regional Clinical Ophthalmological Hospital named after T.I. Eroshevsky, 443068 Samara, Russia)

  • Dmitriy Kirsh

    (Department of Technical Cybernetics, Samara National Research University, 443086 Samara, Russia
    Image Processing Systems Institute of the RAS—Branch of the FSRC “Crystallography and Photonics” RAS, 443001 Samara, Russia)

Abstract

A personalized medical approach can make diabetic retinopathy treatment more effective. To select effective methods of treatment, deep analysis and diagnostic data of a patient’s fundus are required. For this purpose, flat optical coherence tomography images are used to restore the three-dimensional structure of the fundus. Heat propagation through this structure is simulated via numerical methods. The article proposes algorithms for smooth segmentation of the retina for 3D model reconstruction and mathematical modeling of laser exposure while considering various parameters. The experiment was based on a two-fold improvement in the number of intervals and the calculation of the root mean square deviation between the modeled temperature values and the corresponding coordinates shown for the convergence of the integro-interpolation method (balance method). By doubling the number of intervals for a specific spatial or temporal coordinate, a decrease in the root mean square deviation takes place between the simulated temperature values by a factor of 1.7–5.9. This modeling allows us to estimate the basic parameters required for the actual practice of diabetic retinopathy treatment while optimizing for efficiency and safety. Mathematical modeling is used to estimate retina heating caused by the spread of heat from the vascular layer, where the temperature rose to 45 °C in 0.2 ms. It was identified that the formation of two coagulates is possible when they are located at least 180 μm from each other. Moreover, the distance can be reduced to 160 μm with a 15 ms delay between imaging.

Suggested Citation

  • Aleksandr Shirokanev & Nataly Ilyasova & Nikita Andriyanov & Evgeniy Zamytskiy & Andrey Zolotarev & Dmitriy Kirsh, 2021. "Modeling of Fundus Laser Exposure for Estimating Safe Laser Coagulation Parameters in the Treatment of Diabetic Retinopathy," Mathematics, MDPI, vol. 9(9), pages 1-16, April.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:9:p:967-:d:543389
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    References listed on IDEAS

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    1. Nur Syazana Anuar & Norfifah Bachok & Ioan Pop, 2021. "Numerical Computation of Dusty Hybrid Nanofluid Flow and Heat Transfer over a Deformable Sheet with Slip Effect," Mathematics, MDPI, vol. 9(6), pages 1-18, March.
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    Cited by:

    1. Lucas Jódar & Rafael Company, 2022. "Preface to “Mathematical Methods, Modelling and Applications”," Mathematics, MDPI, vol. 10(9), pages 1-2, May.

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