Opto-electronic system for estimation of dynamic changes of biomedical images of microvessels of the fundus

Authors

  • S.V. Pavlov Vinnytsia National Technical University
  • N.P. Babyuk Vinnytsia National Technical University
  • S.M. Zlepko Vinnytsia National Technical University
  • Y.R. Saldan M. Pirogov Vinnitsa National Medical University
  • L.V. Abramenko State University of Infrastructure and Technology, Kyiv

DOI:

https://doi.org/10.31649/1681-7893-2019-38-2-79-89

Keywords:

partial Q-summation method, biomedical imaging, microcirculation of the fundus vessels, contour preparations, image fragment

Abstract

The paper presents an opto-electronic system for estimating dynamic changes in biomedical images by calculating informative diagnostic features of biomedical images, which allows to evaluate the condition of vessels and determine the conjunctival index. Automatic gradient filter selection method based on using data supplied by gradient methods and providing optimal threshold determination that improves the prediction speed of dynamic changes in biomedical images and determines the optimal threshold level under dynamic disturbance factors.

Author Biographies

S.V. Pavlov, Vinnytsia National Technical University

д.т.н., професор, проректор з наукової роботи, професор кафедри біомедичної техніки

N.P. Babyuk, Vinnytsia National Technical University

к.т.н., доцент кафедри програмного забезпечення

S.M. Zlepko, Vinnytsia National Technical University

д.т.н., професор, завідувач кафедрою біомедичної інженерії

Y.R. Saldan, M. Pirogov Vinnitsa National Medical University

д.м.н., професор кафедри очних хвороб

L.V. Abramenko, State University of Infrastructure and Technology, Kyiv

магістр, науковий співробітник кафедри телекомунікаційних технологій та автоматики

References

Pavlov S.V. Methods and computer tools for identifying diabetes-induced fundus pathology // S.V. Pavlov,T.A. Martianova, Y.R. Saldan, and etc. // Information Technology in Medical Diagnostics II. CRC Press,Balkema book, 2019 Taylor & Francis Group, London, UK, PP. 87-99.

S. V. Pavlov; V. B. Vassilenko; I. R. Saldan; D. V. Vovkotrub; A. A. Poplavskaya, et al.Methods of processing biomedical image of retinal macular region of the eye, Proc. SPIE 9961, Reflection,Scattering, and Diffraction from Surfaces V, 99610X (September 26, 2016); doi:10.1117/12.2237154.

Virgil G.,Menchiri F., Murro V. et al. Optical coherence tomography (OCT) for detection of macular oedemain patients with diabetic retinopathy//Cochrane database Syst Rev. – 2011. – Issue.7. – Cd00081. –DOI:10.1002/1465158.pub.2.

N.N. Boykova. Oftalmologia: uchebnoe posobie – Moskva, RIORР, 2007. – 320 s.

TadrousP. J. Methods for imaging the structure and function of living tissues and cells. I. Optical CoherenceTomography / P. J. Tadrous // J. Pathol. 2000.-Vol. 191.-P. 115-119.

Vydrov A.S. Sovremennye klassifikatsii zabolevaniy organa zreniya / A.S Vydrov, A.L. Shtilerman // GOUVPO Amurskaya gosudarstvennaya meditsinskaya akademiya – Blagoveshensk, 2010. – 9 s.

Rothman AL,Tran-Viet D, Vajzovic L, et al. Functional outcomes of young infants and without macularedema. – Retina. – 2015;63:432-437.

Chidambara L, Jayadev C, Mangalesh S, et. al. Correlation of spectral-domain optical coherence tomography with fundus fluorescein angiography in an infant with retinal hamartomas. – Eur J Opbtbalmor. – 2015;25:106-107.

Rotshtein A. Design and Tuning of Fussy IF – THEN Vuley for Medical Didical Diagnosis. Fussy and Neuro-Fussy Systems in Medicine (Eds: N. Teodorescu, A. Kandel, I. Lain.). - USA. CRC-Press, 1998, pp. 235-295.

D. R. Matsunaga, J. J. Yi, L. O. De Koo, H. Ameri, C. A. Puliafito, and A. H. Kashani, “Optical coherence tomography angiography of diabetic retinopathy in human subjects,” – Ophthalmic Surgery Lasers and Imaging Retina, vol. 46, no. 8, pp. 796–805, – 2015.

Güler E., Totan Y., Güragaç F. B. Intravitreal bevacizumab and dexamethasone implant for treatment of chronic diabetic macular edema. Cutaneous and Ocular Toxicology. – 2017;36(2):180–184. doi: 10.3109/15569527.2015.1127254.

Akıncıoğlu D., Küçükevcilioğlu M., Durukan A. H., Aykaş S., Ayyıldız Ö., Erdurman F. C. Outcomes of intravitreal dexamethasone implant in the treatment of recalcitrant diabetic macular edema. Türk Oftalmoloji Dergisi. – 2017;47(5):274–278. doi: 10.4274/tjo.28863.

Pavlov S. V. Information Technology in Medical Diagnostics //Waldemar Wójcik, Andrzej Smolarz, July 11, 2017 by CRC Press - 210 Pages.

Wójcik W., Pavlov S., Kalimoldayev M. Information Technology in Medical Diagnostics II. London: (2019). Taylor & Francis Group, CRC Press, Balkema book. – 336 Pages.

S. V. Pavlov; V. B. Vassilenko; I. R. Saldan; D. V. Vovkotrub; A. A. Poplavskaya, et al.Methods of processing biomedical image of retinal macular region of the eye, Proc. SPIE 9961, Reflection, Scattering, and Diffraction from Surfaces V, 99610X (September 26, 2016).

Downloads

Abstract views: 366

Published

2020-03-12

How to Cite

[1]
S. Pavlov, N. Babyuk, S. Zlepko, Y. Saldan, and L. Abramenko, “Opto-electronic system for estimation of dynamic changes of biomedical images of microvessels of the fundus”, Опт-ел. інф-енерг. техн., vol. 38, no. 2, pp. 79–89, Mar. 2020.

Issue

Section

Biomedical Optical And Electronic Systems And Devices

Metrics

Downloads

Download data is not yet available.

Most read articles by the same author(s)

<< < 1 2