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International Conference on Computational Science and Its Applications

ICCSA 2019: Computational Science and Its Applications – ICCSA 2019 pp 249–256Cite as

Computational Methods for OCT Images Analyze Provided Within Diabetic Retinopathy

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11620))

Abstract

The paper aims to evaluate the variability of the retinal macular thickness to the glycaemic level in non-proliferative diabetic retinopathy by measuring the retinal thickness using the spectral domain optical-coherence tomography (SD-OCT), during daytime, for patients with diabetic retinopathy (DR) or without diabetes mellitus (DM). The evaluation was carried out using the ImageJ software as a processed method of OCT images from the analysed patients and the Origin 6.0 software as an analytical method of OCT macular thickness data. The paper demonstrated that not only the age of the patients but also the time of the day are significant factors that influence diabetic retinopathy. In addition, the paper also highlights the possibility of controlling retinopathy through differential correction of the glycaemic index at the time the specific medication is provided.

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Acknowledgements

All authors have equal contribution to this paper.

The authors declare no financial interest.

Author information

Authors and Affiliations

  1. Academic Center for Optical Engineering and Photonics, Politehnica University, Bucharest, Romania

    Daniela Moraru & Paul E. Sterian

  2. Ophthalmology Department, “Carol Davila” University of Medicine and Pharmacy, Bucharest, Romania

    Sanziana Istrate

  3. Ophthalmology Department, University Emergency Hospital Bucharest, Bucharest, Romania

    Cecilia Eniceicu

  4. Academy of Romanian Scientists, Bucharest, Romania

    Paul E. Sterian

Authors
  1. Daniela Moraru
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  2. Sanziana Istrate
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  3. Cecilia Eniceicu
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  4. Paul E. Sterian
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Corresponding author

Correspondence to Daniela Moraru .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Saint Petersburg State University, Saint Petersburg, Russia

    Vladimir Korkhov

  6. Polytechnic University of Bari, Bari, Italy

    Carmelo Torre

  7. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  8. Monash University, Clayton, VIC, Australia

    David Taniar

  9. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  10. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

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Moraru, D., Istrate, S., Eniceicu, C., Sterian, P.E. (2019). Computational Methods for OCT Images Analyze Provided Within Diabetic Retinopathy. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11620. Springer, Cham. https://doi.org/10.1007/978-3-030-24296-1_21

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  • DOI: https://doi.org/10.1007/978-3-030-24296-1_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24295-4

  • Online ISBN: 978-3-030-24296-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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