Automated detection of preserved photoreceptor on optical coherence tomography in choroideremia based on machine learning.

Journal: Journal of biophotonics
Published Date: May 1, 2018

Abstract

Optical coherence tomography (OCT) can demonstrate early deterioration of the photoreceptor integrity caused by inherited retinal degeneration diseases (IRDs). A machine learning method based on random forests was developed to automatically detect continuous areas of preserved ellipsoid zone structure (an easily recognizable part of the photoreceptors on OCT) in 16 eyes of patients with choroideremia (a type of IRD). Pseudopodial extensions protruding from the preserved ellipsoid zone areas are detected separately by a local active contour routine. The algorithm is implemented on en face images with minimum segmentation requirements, only needing delineation of the Bruch's membrane, thus evading the inaccuracies and technical challenges associated with automatic segmentation of the ellipsoid zone in eyes with severe retinal degeneration.

Authors

  • Zhuo Wang
    Sichuan Center for Disease Control and Prevention, Chengdu 610500, China.
  • Acner Camino
    Casey Eye Institute, Oregon Health and Science University, Portland, Oregon.
  • Ahmed M Hagag
    Casey Eye Institute, Oregon Health and Science University, Portland, Oregon.
  • Jie Wang
  • Richard G Weleber
    Casey Eye Institute, Oregon Health & Science University, 3375 SW Terwilliger Blvd, Portland, OR 97205, USA.
  • Paul Yang
    Casey Eye Institute, Oregon Health and Science University, Portland, Oregon.
  • Mark E Pennesi
    Casey Eye Institute, Oregon Health & Science University, 3375 SW Terwilliger Blvd, Portland, OR 97205, USA.
  • David Huang
    Casey Eye Institute, Oregon Health & Science University, 3375 SW Terwilliger Blvd, Portland, OR 97205, USA.
  • Dengwang Li
    Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan, China.
  • Yali Jia
    Casey Eye Institute, Oregon Health and Science University, Portland, Oregon.

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