Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
A Lightweight Mimic Convolutional Auto-Encoder for Denoising Retinal Optical Coherence Tomography Images Publisher



Tajmirriahi M1 ; Kafieh R1 ; Amini Z1 ; 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: IEEE Transactions on Instrumentation and Measurement Published:2021


Abstract

Optical coherence tomography (OCT) is widely used for diagnosing and monitoring retinal disorders. However, despite hardware improvements, its scans are still highly affected by speckle noise. Speckle noise reduces quality of measurements and decreases reliability of further instrumentation. Recent OCT denoising methods are often complex and computationally inefficient, despite their valid performance. These methods can be used as reference methods to train deep auto-encoders (AEs). AE networks can learn important structural features of OCT images that have been denoised with these reference methods and use features to reconstruct or denoise corrupted ones. In this way, a well-trained AE can efficiently mimic that reference denoising method. In this study, we implemented a lightweight convolutional AE to mimic a recent state-of-the-art method in OCT image denoising. We evaluated the performance of AE for various test data sets using both visual inspection and quantitative metrics. Presented results confirmed good performance of the proposed AE in despeckling OCT scans. Results revealed the generality, computationally efficiency, and device independence property of the proposed method. These features make the proposed network applicable in real time, mobile application due to its high denoising speed and low memory usage. © 1963-2012 IEEE.
Related Docs
View other Related Docs
1. Multivariate Statistical Modeling of Retinal Optical Coherence Tomography, IEEE Transactions on Medical Imaging (2020)
2. Modeling of Retinal Optical Coherence Tomography Based on Stochastic Differential Equations: Application to Denoising, IEEE Transactions on Medical Imaging (2021)
3. Three-Dimensional Optical Coherence Tomography Image Denoising Through Multi-Input Fully-Convolutional Networks, Computers in Biology and Medicine (2019)
4. Local Self-Similar Solution of Admm for Denoising of Retinal Oct Images, IEEE Transactions on Instrumentation and Measurement (2024)
5. Tensor Ring Decomposition Guided Dictionary Learning for Oct Image Denoising, IEEE Transactions on Medical Imaging (2024)
6. Retinal Optical Coherence Tomography Image Analysis by a Restricted Boltzmann Machine, Biomedical Optics Express (2022)
7. Retinal Oct Image Denoising Based on Adaptive Bessel K-Form Modeling, 2023 30th National and 8th International Iranian Conference on Biomedical Engineering, ICBME 2023 (2023)
8. Three-Dimensional Curvelet-Based Dictionary Learning for Speckle Noise Removal of Optical Coherence Tomography, Biomedical Optics Express (2020)
Experts (# of related papers)
View all Related Experts
Hossein Rabbani (52)
Raheleh Kafieh (20)
Other Related Docs
9. Optical Coherence Tomography Retinal Image Reconstruction Via Nonlocal Weighted Sparse Representation, Journal of Biomedical Optics (2018)
10. Sparse Domain Gaussianization for Multi-Variate Statistical Modeling of Retinal Oct Images, IEEE Transactions on Image Processing (2020)
11. Statistical Modeling of Retinal Optical Coherence Tomography Using the Weibull Mixture Model, Biomedical Optics Express (2021)
12. Mixed Multiscale Bm4d for Three-Dimensional Optical Coherence Tomography Denoising, Computers in Biology and Medicine (2023)
13. Retinal Optical Coherence Tomography Image Classification With Label Smoothing Generative Adversarial Network, Neurocomputing (2020)
14. X-Let's Atom Combinations for Modeling and Denoising of Oct Images by Modified Morphological Component Analysis, IEEE Transactions on Medical Imaging (2024)
15. Intra-Retinal Layer Segmentation of Optical Coherence Tomography Using 3D Fully Convolutional Networks, Proceedings - International Conference on Image Processing, ICIP (2018)
16. Speckle Noise Reduction in Optical Coherence Tomography Using Two-Dimensional Curvelet-Based Dictionary Learning, Journal of Medical Signals and Sensors (2017)
17. Wavelet Scattering Transform Application in Classification of Retinal Abnormalities Using Oct Images, Scientific Reports (2023)
18. Super-Resolution of Retinal Optical Coherence Tomography Images Using Statistical Modeling, Journal of Medical Signals and Sensors (2024)
19. Combining Non-Data-Adaptive Transforms for Oct Image Denoising by Iterative Basis Pursuit, Proceedings - International Conference on Image Processing, ICIP (2022)
20. 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)
21. Automatic Production of Synthetic Labelled Oct Images Using an Active Shape Model Hajar Danesh, IET Image Processing (2020)
22. Optical Coherence Tomography Image Denoising Using Gaussianization Transform, Journal of Biomedical Optics (2017)
23. Total Variation Regularized Tensor Ring Decomposition for Oct Image Denoising and Super-Resolution, Computers in Biology and Medicine (2024)
24. Oct Image Denoising Based on Asymmetric Normal Laplace Mixture Model, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2019)
25. Automatic Choroidal Segmentation in Optical Coherence Tomography Images Based on Curvelet Transform and Graph Theory, Journal of Medical Signals and Sensors (2023)
26. Automatic Diagnosis of Abnormal Macula in Retinal Optical Coherence Tomography Images Using Wavelet-Based Convolutional Neural Network Features and Random Forests Classifier, Journal of Biomedical Optics (2018)
27. Application of Deep Dictionary Learning and Predefined Filters for Classification of Retinal Optical Coherence Tomography Images, IEEE Access (2025)
28. Loss-Modified Transformer-Based U-Net for Accurate Segmentation of Fluids in Optical Coherence Tomography Images of Retinal Diseases, Journal of Medical Signals and Sensors (2023)
29. Automatic Classification of Macular Diseases From Oct Images Using Cnn Guided With Edge Convolutional Layer, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2022)
30. Synthetic Oct Data in Challenging Conditions: Three-Dimensional Oct and Presence of Abnormalities, Medical and Biological Engineering and Computing (2022)
31. Bandlets on Oriented Graphs: Application to Medical Image Enhancement, IEEE Access (2019)
32. 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)
33. Automatic Classification of Retinal Optical Coherence Tomography Images With Layer Guided Convolutional Neural Network, IEEE Signal Processing Letters (2019)
34. Automatic Multifaceted Matlab Package for Analysis of Ocular Images (Ampao), SoftwareX (2019)
35. Super-Resolution of Optical Coherence Tomography Images by Scale Mixture Models, IEEE Transactions on Image Processing (2020)
36. Circwavedl: Modeling of Optical Coherence Tomography Images Based on a New Supervised Tensor-Based Dictionary Learning for Classification of Macular Abnormalities, Artificial Intelligence in Medicine (2025)
37. Geometrical X-Lets for Image Denoising, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2019)
38. Classification of Dry Age-Related Macular Degeneration and Diabetic Macular Oedema From Optical Coherence Tomography Images Using Dictionary Learning, IET Image Processing (2020)
39. Dual-Tree Complex Wavelet Input Transform for Cyst Segmentation in Oct Images Based on a Deep Learning Framework, Photonics (2023)
40. A Dual-Discriminator Fourier Acquisitive Gan for Generating Retinal Optical Coherence Tomography Images, IEEE Transactions on Instrumentation and Measurement (2022)
41. Curvature Correction of Retinal Octs Using Graph-Based Geometry Detection, Physics in Medicine and Biology (2013)
42. Detection of Retinal Abnormalities in Oct Images Using Wavelet Scattering Network, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2022)
43. A Matlab Package for Automatic Extraction of Flow Index in Oct-A Images by Intelligent Vessel Manipulation, SoftwareX (2020)
44. Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography Using Coarse Grained Diffusion Map, Medical Image Analysis (2013)
45. Statistical Modeling of Retinal Optical Coherence Tomography, IEEE Transactions on Medical Imaging (2016)
46. 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. Three Dimensional Data-Driven Multi Scale Atomic Representation of Optical Coherence Tomography, IEEE Transactions on Medical Imaging (2015)
48. Slo-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images, Translational Vision Science and Technology (2024)
49. Wavelet-Based Convolutional Mixture of Experts Model: An Application to Automatic Diagnosis of Abnormal Macula in Retinal Optical Coherence Tomography Images, Iranian Conference on Machine Vision and Image Processing, MVIP (2017)
50. Isfahan Artificial Intelligence Event 2023: Macular Pathology Detection Competition, Journal of Medical Signals and Sensors (2025)