English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Optical coherence tomography (OCT) enables high-resolution and non-invasive3D imaging of the human retina but is inherently impaired by speckle noise.This paper introduces a spatio-temporal denoising algorithm for OCT data on aB-scan level using a novel quantile sparse image (QuaSI) prior. To removespeckle noise while preserving image structures of diagnostic relevance, weimplement our QuaSI prior via median filter regularization coupled with a Huberdata fidelity model in a variational approach. For efficient energyminimization, we develop an alternating direction method of multipliers (ADMM)scheme using a linearization of median filtering. Our spatio-temporal methodcan handle both, denoising of single B-scans and temporally consecutiveB-scans, to gain volumetric OCT data with enhanced signal-to-noise ratio. Ouralgorithm based on 4 B-scans only achieved comparable performance to averaging13 B-scans and outperformed other current denoising methods.

QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data