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Deep learning-based image reconstruction in optical coherence tomography using undersampled spectral data

  • Yijie Zhang
  • , Tairan Liu
  • , Manmohan Singh
  • , Ege Cetintas
  • , Yilin Luo
  • , Yair Rivenson
  • , Kirill V. Larin
  • , Aydogan Ozcan

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

Abstract

We present a deep learning-based image reconstruction method in swept-source optical coherent tomography (OCT) using undersampled spectral data. This method can improve the imaging speed without the need for any hardware modifications.

Original languageEnglish
Title of host publication2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781957171050
StatePublished - 1 Jan 2022
Externally publishedYes
Event2022 Conference on Lasers and Electro-Optics, CLEO 2022 - San Jose, United States
Duration: 15 May 202220 May 2022

Publication series

Name2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings

Conference

Conference2022 Conference on Lasers and Electro-Optics, CLEO 2022
Country/TerritoryUnited States
CitySan Jose
Period15/05/2220/05/22

ASJC Scopus subject areas

  • Instrumentation
  • Spectroscopy
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Management, Monitoring, Policy and Law
  • Materials Science (miscellaneous)
  • Acoustics and Ultrasonics
  • Atomic and Molecular Physics, and Optics

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