Real-time acquisition and display of flow contrast using speckle variance optical coherence tomography in a graphics processing unit

Jing Xu, Kevin Wong, Yifan Jian, Marinko V. Sarunic

Research output: Contribution to journalArticle

41 Scopus citations

Abstract

In this report, we describe a graphics processing unit (GPU)-accelerated processing platform for realtime acquisition and display of flow contrast images with Fourier domain optical coherence tomography (FDOCT) in mouse and human eyes in vivo. Motion contrast from blood flow is processed using the speckle variance OCT (svOCT) technique, which relies on the acquisition of multiple B-scan frames at the same location and tracking the change of the speckle pattern. Real-time mouse and human retinal imaging using two different custom-built OCT systems with processing and display performed on GPU are presented with an in-depth analysis of performance metrics. The display output included structural OCT data, en face projections of the intensity data, and the svOCT en face projections of retinal microvasculature; these results compare projections with and without speckle variance in the different retinal layers to reveal significant contrast improvements. As a demonstration, videos of real-time svOCT for in vivo human and mouse retinal imaging are included in our results. The capability of performing real-time svOCT imaging of the retinal vasculature may be a useful tool in a clinical environment for monitoring disease-related pathological changes in the microcirculation such as diabetic retinopathy.

Original languageEnglish (US)
Article number026001
JournalJournal of biomedical optics
Volume19
Issue number2
DOIs
StatePublished - Feb 1 2014

Keywords

  • Flow contrast
  • Graphics processing unit
  • Human retina
  • Mouse retina
  • Speckle variance optical coherence tomography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

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