Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Exact Localization of Breakpoints of Retinal Pigment Epithelium in Optical Coherence Tomography of Optic Nerve Head Publisher Pubmed



Mokhtari M1 ; Rabbani H2 ; Mehridehnavi A2 ; Kafieh R2
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Bioelectric and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, 8174673461, Iran
  2. 2. Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, 8174673461, Iran

Source: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS Published:2017


Abstract

Automatic segmentation of retinal boundaries in Optical Coherence Tomography (OCT) acquired around Optic Nerve Head (ONH) is of high importance, due to anatomical structure of this area. Exclusion of this area from calculations is a prevalent method but for cases like calculation of disc margins, it is not applicable. The pro-posed method is designed for exact localization of Retinal pigment epithelium break points in ONH centered OCTs. The method is based on incorporation of ridgelet transform for determination of the ONH region and consequent identification of the end points. Incorrect localization in presence of shadow of retinal vessels has also been considered to obtain the high accuracy. Considering the mean value of disk diameter (145.07±38.96), the rational error of the algorithm is 0.07. © 2017 IEEE.
Other Related Docs
11. Vessel Segmentation in Images of Optical Coherence Tomography Using Shadow Information and Thickening of Retinal Nerve Fiber Layer, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2013)
12. A New Texture-Based Segmentation Method for Optical Coherence Tomography Images, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2019)
14. Automatic Detection of the Optic Disc of the Retina: A Fast Method, Journal of Medical Signals and Sensors (2016)
23. Multivariate Statistical Modeling of Retinal Optical Coherence Tomography, IEEE Transactions on Medical Imaging (2020)
37. Analysis of Foveal Avascular Zone for Grading of Diabetic Retinopathy Severity Based on Curvelet Transform, Graefe's Archive for Clinical and Experimental Ophthalmology (2012)
40. Automatic Detection of Microaneurysms in Oct Images Using Bag of Features, Computational and Mathematical Methods in Medicine (2022)
45. Stochastic Differential Equations for Automatic Quality Control of Retinal Optical Coherence Tomography Images, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2022)
47. Detection and Registration of Vessels of Fundus and Oct Images Using Curevelet Analysis, IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012 (2012)
48. Automatic Optic Disk Detection by the Use of Curvelet Transform, Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009 (2009)