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Single step full volumetric reconstruction optical coherence tomography utilizing compressive sensing

  • Luoyang Chen
  • , Jiansheng Liu*
  • , Jiangtao cheng
  • , Haitao Liu
  • , Hongwen Zhou
  • *Corresponding author for this work
  • Beihang University
  • Virginia Polytechnic Institute and State University

Research output: Contribution to journalArticlepeer-review

Abstract

3D optical coherence tomography imaging (OCT) combined with compressive sensing (CS) has been proved to be an attractive and effective tool in a variety of fields, such as medicine and biology. To achieve high quality imaging while using as less CS sampling rate as possible is the goal of this approach. Here we present an innovative single step fully 3D CS-OCT volumetric image recovery method, in which 3D OCT volumetric image of the object is compressively sampled via our proposed CS coding strategies in all three dimensions while its sparsity is simultaneously taken into consideration in every direction. The object can be directly recovered as the whole volume reconstruction via our advanced full 3D CS reconstruction algorithm. The numerical simulations of a human retina OCT volumetric image reconstruction by our method demonstrate a PSNR of as high as 38dB at a sampling rate of less than 10%.

Original languageEnglish
Pages (from-to)117-120
Number of pages4
JournalOptics Communications
Volume387
DOIs
StatePublished - 15 Mar 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • 3D image reconstruction
  • Compressive sensing
  • Optical coherence tomography

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