Background Noise Reduction of OCT Images Based on Region Filling

Yingwei Fan*, Chengquan Hu, Hongxiang Kang, Hongen Liao

*Corresponding author for this work

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

Abstract

Optical coherence tomography (OCT) is widely used in biomedical imaging. However, background noise severely affects the diagnosis and identification of diseased tissues. Here, we propose a background-noise reduction method based on region filling. OCT images of in vivo skin tissues, ex vivo brain tumors and ex vivo brain normal tissues had been analyzed to remove background noise using the method. Results demonstrated that the mean of the noise reduction ratio (NRR) reached more than 95% and the image-to-noise ratio (INR) ranges from −0.5 dB to 2.5 dB. The denoised OCT images demonstrated a better three-dimensional (3-D) visualization effect. The proposed method is useful for removing the background noise of OCT images in medical imaging.

Original languageEnglish
Title of host publication11th Asian-Pacific Conference on Medical and Biological Engineering - Proceedings of the Online Conference, APCMBE 2020
EditorsYasuyuki Shiraishi, Ichiro Sakuma, Keiji Naruse, Akinori Ueno
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-9
Number of pages7
ISBN (Print)9783030661687
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event11th Asian-Pacific Conference on Medical and Biological Engineering, APCMBE 2020 - Okayama, Japan
Duration: 25 May 202027 May 2020

Publication series

NameIFMBE Proceedings
Volume82
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Conference

Conference11th Asian-Pacific Conference on Medical and Biological Engineering, APCMBE 2020
Country/TerritoryJapan
CityOkayama
Period25/05/2027/05/20

Keywords

  • Background noise reduction
  • Biomedical imaging
  • Optical coherence tomography
  • Region filling

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