Automated spectroscopic retinal oximetry with visible-light optical coherence tomography

Shaohua Pi, Acner Camino, William Cepurna, Xiang Wei, Miao Zhang, David Huang, John Morrison, Jia Yali

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

Accurate, quantitative assessment of retinal blood oxygen saturation (sO2) may provide a useful early indicator of pathophysiology in several ocular diseases. Here, with visible-light optical coherence tomography (OCT), we demonstrate an automated spectroscopic retinal oximetry algorithm to measure the sO2 within the retinal arteries (A-sO2) and veins (V-sO2) in rats by automatically detecting the vascular posterior boundary on crosssectional structural OCT. The algorithm was validated in vitro with flow phantoms and in vivo in rats by comparing the sO2 results, respectively, to those obtained using a blood gas analyzer and pulse oximetry. We also investigated the response of oxygen extraction (A-V sO2), including inter-session reproducibility, at different inhaled oxygen concentrations.

Original languageEnglish (US)
Article number#320440
Pages (from-to)2056-2067
Number of pages12
JournalBiomedical Optics Express
Volume9
Issue number5
DOIs
StatePublished - May 1 2018

Keywords

  • Functional monitoring and imaging
  • Image enhancement
  • Ophthalmology
  • Optical coherence tomography

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

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