2D transform-domain Fourier filters for eliminating microsaccade noise in en face optical coherence tomography angiography

Jianlong Yang, Liyang Fang, Yan Hu, Yitian Zhao, Yalin Zheng, Jiang Liu

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Microsaccade noise is fast-scan-directional bright short lines in en face optical coherence tomography angiography images. We propose to use 2D Fourier filters in different transform domains including Fourier, wavelet, and nonsubsampled contourlet domains to eliminate this kind of noise. We used image entropy and vessel density as the metrics to evaluate their performance on noise elimination, we found that filtering after the nonsubsampled contourlet transform (NSCT) was the best choice among these approaches. For vessel preservation, the wavelet-domain filtering has the advantage of keeping signal-to-noise ratio while the NSCT filtering can preserve structure similarity to the most extent.

Original languageEnglish
Title of host publicationEuropean Conference on Biomedical Optics, ECBO_2019
PublisherOSA - The Optical Society
ISBN (Electronic)9781557528209
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventEuropean Conference on Biomedical Optics, ECBO_2019 - Munich, Netherlands
Duration: 23 Jun 201925 Jun 2019

Publication series

NameOptics InfoBase Conference Papers
VolumePart F142-ECBO 2019

Conference

ConferenceEuropean Conference on Biomedical Optics, ECBO_2019
Country/TerritoryNetherlands
CityMunich
Period23/06/1925/06/19

Keywords

  • Denoising
  • Image postprocessing
  • Ocular imaging
  • Optical coherence tomography angiography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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