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Journal ArticleDOI

Speckle reduction in optical coherence tomography images by use of a spatially adaptive wavelet filter

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TLDR
A spatially adaptive two-dimensional wavelet filter is used to reduce speckle noise in time-domain and Fourier-domain optical coherence tomography (OCT) images.
Abstract
A spatially adaptive two-dimensional wavelet filter is used to reduce speckle noise in time-domain and Fourier-domain optical coherence tomography (OCT) images. Edges can be separated from discontinuities that are due to noise, and noise power can be attenuated in the wavelet domain without significantly compromising image sharpness. A single parameter controls the degree of noise reduction. When this filter is applied to ophthalmic OCT images, signal-to-noise ratio improvements of >7 dB are attained, with a sharpness reduction of <3%.

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Citations
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Journal ArticleDOI

Retinal Imaging and Image Analysis

TL;DR: Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed and aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships.
Journal ArticleDOI

Ultrafast fluorescence imaging in vivo with conjugated polymer fluorophores in the second near-infrared window

TL;DR: A series of low-bandgap donor/acceptor copolymers with tunable emission wavelengths of 1,050-1,350 nm allows for in vivo, deep-tissue and ultrafast imaging of mouse arterial blood flow with an unprecedented frame rate of >25 frames per second.
Journal ArticleDOI

Recent developments in optical coherence tomography for imaging the retina.

TL;DR: An overview of the most recent developments in the field of OCT imaging focussing on applications for the retina shows how promising are the developments in contrast-enhanced molecular optical imaging, for example with the use of scattering tuneable nanoparticles targeted at specific tissue or cell structures.
Journal ArticleDOI

Speckle reduction in optical coherence tomography images using digital filtering.

TL;DR: In this article, the authors apply various speckle-reduction digital filters to optical coherence tomography images and compare their performance, showing that shift-invariant, nonorthogonal wavelet-transform-based filters together with enhanced Lee and adaptive Wiener filters can significantly reduce speckble and increase the signal-to-noise ratio, while preserving strong edges.
Journal ArticleDOI

Sparsity based denoising of spectral domain optical coherence tomography images

TL;DR: 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 are shown.
References
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Journal ArticleDOI

Optical coherence tomography

TL;DR: OCT as discussed by the authors uses low-coherence interferometry to produce a two-dimensional image of optical scattering from internal tissue microstructures in a way analogous to ultrasonic pulse-echo imaging.
Book ChapterDOI

Optical Coherence Tomography

TL;DR: Optical coherence tomography (OCT) has developed rapidly since its first realisation in medicine and is currently an emerging technology in the diagnosis of skin disease as mentioned in this paper, where OCT is an interferometric technique that detects reflected and backscattered light from tissue.
Journal ArticleDOI

Ultrahigh-resolution, high-speed, Fourier domain optical coherence tomography and methods for dispersion compensation.

TL;DR: High-resolution spectral domain OCT is shown to provide a ~100x increase in imaging speed when compared to ultrahigh-resolution time domain OCT, and a general technique for automatic numerical dispersion compensation is presented, which is applicable to spectral domain as well as swept source embodiments of Fourier domain OCT.
Journal ArticleDOI

Speckle in Optical Coherence Tomography

TL;DR: Four speckle-reduction methods-polarization diversity, spatialcompounding, frequency compounding, and digital signal processing-are discussed and the potential effectiveness of each method is analyzed briefly with the aid of examples.
Journal ArticleDOI

Spatially adaptive wavelet thresholding with context modeling for image denoising

TL;DR: A spatially adaptive wavelet thresholding method based on context modeling, a common technique used in image compression to adapt the coder to changing image characteristics, which yields significantly superior image quality and lower MSE than the best uniform thresholding with the original image assumed known.
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