Abstract
Analysis of the photographs of the fundus of the eye is a significant diagnostic method used in many medical specialisations. Visible retinal vessels are the only ones in the human body which may be seen with the naked eye. Their condition is the reflection of the health status of various organs and systems. In spite of the appearance of more advanced eye diagnostic methods, the analysis of retinal vessels based on photographs is still being developed. The authors propose increasing of the diagnostic sensitivity through digital filtration of the photographs with the use of a nonlinear order-statistic filter. The obtained results have explicitly indicated a significant increase in readability of the processed images in comparison to the original ones.
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References
Bryk, E.: Dno oka w chorobach pozaukładowych. PZWL, Warszawa (1989)
London, A., Benhar, I., Schwartz, M.: The retina as a window to the brain—from eye research to CNS disorders. Nat. Rev. Neurol. 9, 44–53 (2013)
De Silva, D.A., Manzano, J.J.F., Liu, E.Y., Woon, F.-P., Wong, W.-X., Chang, H.-M., Chen, C., Lindley, R.I., Wang, J.J., Mitchell, P., Wong, T.-Y., Wong, M.-C.: Retinal microvascular changes and subsequent vascular events after ischemic stroke. Neurology 77(9) (2011)
Abdelhak, A., Hübers, A., Böhm, K., Ludolph, A.C., Kassubek, J., Pinkhardt, E.H.: In vivo assessment of retinal vessel pathology in amyotrophic lateral sclerosis. J. Neurol. 265(4), 949–953 (2018)
Dumitrascu O.M., Qureshi T.A.: Retinal vascular imaging in vascular cognitive impairment: current and future perspectives. J. Exp. Neurosci. 12 (2018)
Parker, J.R.: Algorithms for image processing and computer vision. Wiley Computer Publishing, New York (1997)
Hsia, Y., Su, C.C., Wang, T.H., Yang, C.M., Huang, J.Y.: Long-term follow-up of retinal nerve fiber layer cleavages in glaucoma patients and suspects. Graefes Arch. Clin. Exp. Ophthalmol. 256(10), 1945–1952 (2018)
Marupally, A.G., Vupparaboina, K.K., Peguda, H.K., Richhariya, A., Jana, S., Chhablani, J.: Semi-automated quantification of hard exudates in colour fundus photographs diagnosed with diabetic retinopathy. BMC Ophthalmol. 17(1), 172 (2017)
Benson, M., Wong, R.W., Young, R.C., Gibson, J.B., Fan, Y., Harper, C.A.: Dynamic retina vessel color change during ocular compression in severe lipemia retinalis. Retin. Cases Brief. Rep. 12(Suppl 1), S98–S101 (2018)
Jiang, Z., Zhang, H., Wang, Y., Ko, S.B.: Retinal blood vessel segmentation using fully convolutional network with transfer learning. Comput. Med. Imag. Graph 68, 1–15 (2018)
Yan, Z., Yang, X., Cheng, K.T.: Joint segment-level and pixel-wise losses for deep learning based retinal vessel segmentation. IEEE Trans. Biomed. Eng. 65(9), 1912–1923 (2018)
Yang, Y., Shao, F., Fu, Z., Fu, R.: Blood vessel segmentation of fundus images via cross-modality dictionary learning. Appl. Opt. 57(25), 7287–7295 (2018)
Soma-Pillay, P., Pillay, R., Wong, T.Y., Makin, J.D., Pattinson, R.C.: The effect of pre-eclampsia on retinal microvascular caliber at delivery and post-partum. Obstet. Med. 11(3), 116–120 (2018)
Cheung, C.Y., Chen, C., Wong, T.Y.: Ocular fundus photography as a tool to study stroke and dementia. Semin. Neurol. 35(5), 481–490 (2015)
McGrory, S., Cameron, J.R., Pellegrini, E., Warren, C., Doubal, F.N., Deary, I.J., Dhillon, B., Wardlaw, J.M., Trucco, E., MacGillivray, T.J.: The application of retinal fundus camera imaging in dementia: a systematic review. Alzheimers Dement (Amst) 6, 91–107 (2016)
Pérez, M.A., Bruce, B.B., Newman, N.J., Biousse, V.: The use of retinal photography in nonophthalmic settings and its potential for neurology. Neurologist 18(6), 350–355 (2012)
Bruce, B.B., Thulasi, P., Fraser, C.L., Keadey, M.T., Ward, A., Heilpern, K.L., Wright, D.W., Newman, N.J., Biousse, V.: Diagnostic accuracy and use of nonmydriatic ocular fundus photography by emergency physicians: phase II of the FOTO-ED study. Ann. Emerg. Med. 62(1), 28–33 (2013)
Bruce, B.B., Biousse, V., Newman, N.J.: Nonmydriatic ocular fundus photography in neurologic emergencies. JAMA Neurol. 72(4), 455–459 (2015)
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Kowalski, J.P., Galant, G., Peksinski, J., Mikolajczak, G. (2020). Correction of the Eye Fundus Blood Vessels Images. In: Huk, M., Maleszka, M., Szczerbicki, E. (eds) Intelligent Information and Database Systems: Recent Developments. ACIIDS 2019. Studies in Computational Intelligence, vol 830. Springer, Cham. https://doi.org/10.1007/978-3-030-14132-5_24
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DOI: https://doi.org/10.1007/978-3-030-14132-5_24
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