ArticleBiomedical optics express2012
Sparsity based denoising of spectral domain optical coherence tomography images.
Article in Biomedical optics express, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
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Who cites it
71 citing papers in PubMed.
- Interferometric image denoising network SEVReNet.Biomedical optics express · 2026Article
- PSB-DSN: a two-stage unsupervised denoising enhancement network for OCT images based on pixel shuffle and blind spot masking.Biomedical optics express · 2026Article
- Time-step encoded high-frequency enhanced diffusion model for OCT retinal image denoising.Biomedical optics express · 2025Article
- Exploring Publicly Accessible Optical Coherence Tomography Datasets: A Comprehensive Overview.Diagnostics (Basel, Switzerland) · 2024Review
- Probabilistic volumetric speckle suppression in OCT using deep learning.Biomedical optics express · 2024Article
- Sub2Full: split spectrum to boost optical coherence tomography despeckling without clean data.Optics letters · 2024Article
- Transformer enhanced autoencoder rendering cleaning of noisy optical coherence tomography images.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- PSCAT: a lightweight transformer for simultaneous denoising and super-resolution of OCT images.Biomedical optics express · 2024Article
- Employing texture loss to denoise OCT images using generative adversarial networks.Biomedical optics express · 2024Article
- Denoising of Optical Coherence Tomography Images in Ophthalmology Using Deep Learning: A Systematic Review.Journal of imaging · 2024Review
- Article
- Speckle contrast reduction through the use of a modally-specific photonic lantern for optical coherence tomography.Biomedical optics express · 2023Article
- OIMHS: An Optical Coherence Tomography Image Dataset Based on Macular Hole Manual Segmentation.Scientific data · 2023Article
- Optical coherence tomography image despeckling based on tensor singular value decomposition and fractional edge detection.Heliyon · 2023Article
- A Review of Machine Learning Algorithms for Retinal Cyst Segmentation on Optical Coherence Tomography.Sensors (Basel, Switzerland) · 2023Review
- Mixed multiscale BM4D for three-dimensional optical coherence tomography denoising.Computers in biology and medicine · 2023Article
- Self-supervised speckle noise reduction of optical coherence tomography without clean data.Biomedical optics express · 2022Article
- Spatiotemporal singular value decomposition for denoising in photoacoustic imaging with a low-energy excitation light source.Biomedical optics express · 2022Article
- Non-Local Mean Denoising Algorithm Based on Fractional Compact Finite Difference Scheme Effectively Reduces Speckle Noise in Optical Coherence Tomography Images.Micromachines · 2022Article
- Retinal optical coherence tomography image analysis by a restricted Boltzmann machine.Biomedical optics express · 2022Article
11 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
Abstract
In this paper, we make contact with the field of compressive sensing and present a development and generalization of tools and results for reconstructing irregularly sampled tomographic data. In particular, we focus on denoising Spectral-Domain Optical Coherence Tomography (SDOCT) volumetric data. We take advantage of customized scanning patterns, in which, a selected number of B-scans are imaged at higher signal-to-noise ratio (SNR). We learn a sparse representation dictionary for each of these high-SNR images, and utilize such dictionaries to denoise the low-SNR B-scans. We name this method multiscale sparsity based tomographic denoising (MSBTD). We show the qualitative and quantitative superiority of the MSBTD algorithm compared to popular denoising algorithms on images from normal and age-related macular degeneration eyes of a multi-center clinical trial. We have made the corresponding data set and software freely available online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.