Three-Dimensional Volume Calculation of Intrachoroidal Cavitation Using Deep-Learning-Based Noise Reduction of Optical Coherence Tomography.

Journal: Translational vision science & technology
PMID: 35802370

Abstract

PURPOSE: Intrachoroidal cavitations (ICCs) are peripapillary pathological lesions generally associated with high myopia that can cause visual field (VF) defects. The current study aimed to evaluate a three-dimensional (3D) volume parameter of ICCs segmented from volumetric swept-source optical coherence tomography (SS-OCT) images processed using deep learning (DL)-based noise reduction and to investigate its correlation with VF sensitivity.

Authors

  • Satoko Fujimoto
    Department of Ophthalmology, Graduate School of Medicine, Osaka University, Osaka, Japan.
  • Atsuya Miki
    Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Kazuichi Maruyama
    Department of Vision Informatics, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
  • Song Mei
    Topcon Advanced Biomedical Imaging Laboratory, Oakland, New Jersey, USA.
  • Zaixing Mao
    Topcon Advanced Biomedical Imaging Laboratory, Oakland, New Jersey, USA.
  • Zhenguo Wang
    Topcon Advanced Biomedical Imaging Laboratory, Oakland, New Jersey, USA.
  • Kinpui Chan
    Topcon Advanced Biomedical Imaging Laboratory, Oakland, New Jersey, USA.
  • Kohji Nishida
    Department of Ophthalmology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.

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