Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
A New Texture-Based Segmentation Method for Optical Coherence Tomography Images Publisher Pubmed



Monemian M1 ; Rabbani H1
Authors
Show Affiliations
Authors Affiliations
  1. 1. Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS Published:2019


Abstract

Optical Coherence Tomography (OCT) is an imaging modality which facilitates capturing pictures from biological organs like retina. Accurate segmentation and verification of OCT images leads to the identification and treatment of harmful retinal diseases such as glaucoma. The main fact used for segmentation in this paper is that a considerable number of boundary pixels have similar features from texture point-of-view. Thus, a novel low-complexity segmentation method for OCT images is proposed paying attention to the texture feature of pixels on the boundaries. The simulation results show that the proposed method provides acceptable values for mean signed and unsigned errors compared to the result of manual segmentation. © 2019 IEEE.
Related Docs
View other Related Docs
1. Analysis of a Novel Segmentation Algorithm for Optical Coherence Tomography Images Based on Pixels Intensity Correlations, IEEE Transactions on Instrumentation and Measurement (2021)
2. Mathematical Analysis of Texture Indicators for the Segmentation of Optical Coherence Tomography Images, Optik (2020)
3. Curvature Correction of Retinal Octs Using Graph-Based Geometry Detection, Physics in Medicine and Biology (2013)
4. Intra-Retinal Layer Segmentation of Optical Coherence Tomography Using Diffusion Map, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2013)
5. A Review of Algorithms for Segmentation of Optical Coherence Tomography From Retina, Journal of Medical Signals and Sensors (2013)
6. Morphological Component Analysis for Automatic Segmentation of Six Lower Retina Layers in Optical Coherence Tomography Images, Journal of Isfahan Medical School (2016)
7. An Automatic Algorithm for Segmentation of the Boundaries of Corneal Layers in Optical Coherence Tomography Images Using Gaussian Mixture Model, Journal of Medical Signals and Sensors (2014)
8. Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map, Medical Image Analysis (2013)
Experts (# of related papers)
View all Related Experts
Hossein Rabbani (84)
Raheleh Kafieh (37)
Other Related Docs
9. A Review on Texture-Based Methods for Anomaly Detection in Retinal Optical Coherence Tomography Images, Optik (2023)
10. Automatic Production of Synthetic Labelled Oct Images Using an Active Shape Model Hajar Danesh, IET Image Processing (2020)
11. Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation, International Journal of Biomedical Imaging (2016)
12. Optical Coherence Tomography Image Denoising Using Gaussianization Transform, Journal of Biomedical Optics (2017)
13. Three Dimensional Data-Driven Multi Scale Atomic Representation of Optical Coherence Tomography, IEEE Transactions on Medical Imaging (2015)
14. Optical Coherence Tomography Retinal Image Reconstruction Via Nonlocal Weighted Sparse Representation, Journal of Biomedical Optics (2018)
15. Super-Resolution of Retinal Optical Coherence Tomography Images Using Statistical Modeling, Journal of Medical Signals and Sensors (2024)
16. Intra-Retinal Layer Segmentation of Optical Coherence Tomography Using 3D Fully Convolutional Networks, Proceedings - International Conference on Image Processing, ICIP (2018)
17. Sparse Domain Gaussianization for Multi-Variate Statistical Modeling of Retinal Oct Images, IEEE Transactions on Image Processing (2020)
18. Optimal Deep Learning Architecture for Automated Segmentation of Cysts in Oct Images Using X-Let Transforms, Diagnostics (2023)
19. Automatic Classification of Retinal Three-Dimensional Optical Coherence Tomography Images Using Principal Component Analysis Network With Composite Kernels, Journal of Biomedical Optics (2017)
20. Synthetic Oct Data in Challenging Conditions: Three-Dimensional Oct and Presence of Abnormalities, Medical and Biological Engineering and Computing (2022)
21. Forming Projection Images From Each Layer of Retina Using Diffusion May Based Oct Segmentation, 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 (2012)
22. Automated Choroidal Segmentation in Enhanced Depth Imaging Optical Coherence Tomography Images, Journal of Isfahan Medical School (2013)
23. Optical Oherence Tomography Image Reconstruction Using Morphological Component Analysis, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2019)
24. An Accurate Multimodal 3-D Vessel Segmentation Method Based on Brightness Variations on Oct Layers and Curvelet Domain Fundus Image Analysis, IEEE Transactions on Biomedical Engineering (2013)
25. Optical Coherence Tomography Noise Reduction Over Learned Dictionaries With Introduction of Complex Wavelet for Start Dictionary, Proceedings of SPIE - The International Society for Optical Engineering (2013)
26. 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)
27. Three-Dimensional Curvelet-Based Dictionary Learning for Speckle Noise Removal of Optical Coherence Tomography, Biomedical Optics Express (2020)
28. Segmentation of Choroidal Boundary in Enhanced Depth Imaging Octs Using a Multiresolution Texture Based Modeling in Graph Cuts, Computational and Mathematical Methods in Medicine (2014)
29. Texture Modeling in Optical Coherence Tomography Images, Handbook of Texture Analysis: Generalized Texture for AI-Based Industrial Applications (2024)
30. 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)
31. Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images, Scientific Reports (2021)
32. X-Let's Atom Combinations for Modeling and Denoising of Oct Images by Modified Morphological Component Analysis, IEEE Transactions on Medical Imaging (2024)
33. Directional Analysis of Intensity Changes for Determining the Existence of Cyst in Optical Coherence Tomography Images, Scientific Reports (2022)
34. Exact Localization of Breakpoints of Retinal Pigment Epithelium in Optical Coherence Tomography of Optic Nerve Head, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2017)
35. Automatic Detection of Microaneurysms in Optical Coherence Tomography Images of Retina Using Convolutional Neural Networks and Transfer Learning, Scientific Reports (2022)
36. Retinal Vessel Segmentation Using System Fuzzy and Dbscan Algorithm, 2015 2nd International Conference on Pattern Recognition and Image Analysis, IPRIA 2015 (2015)
37. Cyst Identification in Retinal Optical Coherence Tomography Images Using Hidden Markov Model, Scientific Reports (2023)
38. Formation and Fusion of Projection Images From 11 Layers of Retina Using Statistical Indicators to Obtain an Image With Appropriate Contrast From the Retinal Depth, Journal of Isfahan Medical School (2013)
39. Forming Optimal Projection Images From Intra-Retinal Layers Using Curvelet-Based Image Fusion Method, Journal of Medical Signals and Sensors (2020)
40. Retinal Optical Coherence Tomography Image Analysis by a Restricted Boltzmann Machine, Biomedical Optics Express (2022)
41. Red-Lesion Extraction in Retinal Fundus Images by Directional Intensity Changes’ Analysis, Scientific Reports (2021)
42. 3D Curvelet-Based Segmentation & Quantification of Drusen in Optical Coherence Tomography Images, Journal of Electrical and Computer Engineering (2017)
43. Modeling of Retinal Optical Coherence Tomography Based on Stochastic Differential Equations: Application to Denoising, IEEE Transactions on Medical Imaging (2021)
44. Reconstruction of Optical Coherence Tomography Images Using Mixed Low Rank Approximation and Second Order Tensor Based Total Variation Method, IEEE Transactions on Medical Imaging (2021)
45. Analysis of Fundus Fluorescein Angiogram Based on the Hessian Matrix of Directional Curvelet Sub-Bands and Distance Regularized Level Set Evolution, Journal of Medical Signals and Sensors (2015)
46. A Device-Independent, Shape Preserving Retinal Optical Coherence Tomography Image Alignment Method Applying Tv-Unet for Rpe Layer Detection, IEEE Transactions on Instrumentation and Measurement (2022)
47. Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images With Low-Contrast Sclerochoroidal Junction Using Deep Learning, Photonics (2023)
48. A Matlab Package for Automatic Extraction of Flow Index in Oct-A Images by Intelligent Vessel Manipulation, SoftwareX (2020)
49. Automatic Detection and Recognition of Multiple Macular Lesions in Retinal Optical Coherence Tomography Images With Multi-Instance Multilabel Learning, Journal of Biomedical Optics (2017)
50. Automatic Detection of Microaneurysms in Oct Images Using Bag of Features, Computational and Mathematical Methods in Medicine (2022)