Assessment and removal of additive noise in a complex optical coherence tomography signal based on Doppler variation analysis

Xuan Liu, Farzana Zaki, Dylan Renaud

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In this study, we investigate and validate a novel approach to assess and remove additive noise for optical coherence tomography (OCT) imaging. Our method first generates a map of additive noise for the OCT image through Doppler variation analysis. We then remove the additive noise from the real and imaginary parts of the complex OCT signal through pixelwise Wiener filtering. Our results show that the method described in this manuscript improves the sensitivity of OCT imaging and preserves the spatial resolution without the need to modify the imaging apparatus and data acquisition protocol.

Original languageEnglish (US)
Pages (from-to)2873-2880
Number of pages8
JournalApplied Optics
Volume57
Issue number11
DOIs
StatePublished - Apr 10 2018

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

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