High signal-to-noise ratio reconstruction of low bit-depth optical coherence tomography using deep learning.

Journal: Journal of biomedical optics
Published Date: Nov 1, 2020

Abstract

SIGNIFICANCE: Reducing the bit depth is an effective approach to lower the cost of an optical coherence tomography (OCT) imaging device and increase the transmission efficiency in data acquisition and telemedicine. However, a low bit depth will lead to the degradation of the detection sensitivity, thus reducing the signal-to-noise ratio (SNR) of OCT images.

Authors

  • Qiangjiang Hao
    Chinese Academy of Sciences, Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials, China.
  • Kang Zhou
    School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
  • Jianlong Yang
    Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China.
  • Yan Hu
    Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Zhengjie Chai
    Chinese Academy of Sciences, Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials, China.
  • Yuhui Ma
    Department of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, China.
  • Gangjun Liu
    Shenzhen Graduate School, Peking University, Shenzhen, China.
  • Yitian Zhao
  • Shenghua Gao
  • Jiang Liu
    Department of Pharmacy, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.

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