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

2 Citations (Scopus)

Abstract

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 publicationOptical Coherence Imaging Techniques and Imaging in Scattering Media III
EditorsMaciej Wojtkowski, Stephen A. Boppart, Wang-Yuhl Oh
PublisherSPIE
ISBN (Electronic)9781510628496
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventOptical Coherence Imaging Techniques and Imaging in Scattering Media III 2019 - Munich, Germany
Duration: 25 Jun 201927 Jun 2019

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11078
ISSN (Print)1605-7422

Conference

ConferenceOptical Coherence Imaging Techniques and Imaging in Scattering Media III 2019
Country/TerritoryGermany
CityMunich
Period25/06/1927/06/19

Keywords

  • Optical coherence tomography angiography
  • denoising.
  • image postprocessing
  • ocular imaging

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging
  • Biomaterials

Fingerprint

Dive into the research topics of '2D transform-domain Fourier filters for eliminating microsaccade noise in en face optical coherence tomography angiography'. Together they form a unique fingerprint.

Cite this