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Multi layer segmentation method for ophthalmic OCT images based on Gabor filtering

Published: 15 December 2023 Publication History

Abstract

Optical coherence tomography is a non-destructive optical signal acquisition and processing method for imaging surface tissue structure. OCT has become an important and innovative corneal measurement and diagnostic technology. Propose a multi-layer detection method for ophthalmic OCT retinal images. Firstly, perform 2D Gabor filtering on the OCT image, then binarize the filtered image, and finally perform eight neighborhood contour localization. To provide reference for the quantitative analysis of the thickness of different physiological layers in the anterior segment in the clinical diagnosis and lesion assessment of ophthalmic diseases.

References

[1]
Miao Qingran, Wang Haixia, Yu Yang,et al.Application of Optical Coherence Tomography in Fingertip Biometrics[J],Progress in Laser and Optoelectronics,2023,60(4):0811012.
[2]
Huang D, Swanson E A, Lin C P, Optical coherence tomography[J]. Science (NewYork, NY), 1991, 254(5035): 1178
[3]
Zhang TQ, Song ZJ, Wang XG, Zheng HM, Jia FC, Wu JH, Li GL, Hu QM. Fast RetinalLayer Segmentation of Spectral Domain Optical Coherence Tomography Images. Journal of Biomedical Optics, 2015, 20(9): 096014
[4]
Zhan Yianqiao,HU Qingmao,Wang Xiaogang.Segmentation of age-related macular degeneration pathology from sepectral domain OCT[J],Journal of Hunan University, 2017,44(10):8-13.
[5]
LIU Ai-lin, CHEN Chang-xiang.Central Cornea Thickness Measured in the Anterior Chamber OCT Image[J].Chinese Journal of Medical Physics,2009,26(03):1172-1175.
[6]
Fatima K N, Hassan T, Akram M U, Fully automated diagnosis of papilledema through robust extraction of vascular patterns and ocular pathology from fundus photographs[J]. Biomedical Optics Express, 2017, 8(2): 1005-1024.
[7]
Wang Y, Chen S, Lin K,et al.Multi-channel spectral-domain optical coherence tomographyusing single spectrometer[J].Chinese Optics Letters, 2023, 21(5):051102.
[8]
LIU Yifei,SU Ya,YAO Xiaotian,et al. An optimization method of image processing for OCT non-invasive blood glucose detection[J].LASER TECHNOLOGY,2023,47(5):178-183.
[9]
Dai Hao, Yang Yaliang, Yue XianDenoising,et al. Method of Retinal OCT Images Based on Modularized Denoising Autoencoder[J],Acta Optica Sinica,2023,43(1):0110001.

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          ICCVIT '23: Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology
          August 2023
          378 pages
          ISBN:9798400708701
          DOI:10.1145/3627341
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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          Published: 15 December 2023

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          ICCVIT '23 Paper Acceptance Rate 54 of 142 submissions, 38%;
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