Choriocapillaris evaluation in choroideremia using optical coherence tomography angiography.

Journal: Biomedical optics express
Published Date: Dec 5, 2016

Abstract

The choriocapillaris plays an important role in supporting the metabolic demands of the retina. Studies of the choriocapillaris in disease states with optical coherence tomography angiography (OCTA) have proven insightful. However, image artifacts complicate the identification and quantification of the choriocapillaris in degenerative diseases such as choroideremia. Here, we demonstrate a supervised machine learning approach to detect intact choriocapillaris based on training with results from an expert grader. We trained a random forest classifier to evaluate structural OCT and OCTA information along with spatial image features. Evaluation of the trained classifier using previously unseen data showed good agreement with manual grading.

Authors

  • Simon S Gao
    gRED Computational Science, Genentech, Inc., South San Francisco, California.
  • Rachel C Patel
    Casey Eye Institute, Oregon Health & Science University, 3375 SW Terwilliger Blvd, Portland, OR 97205, USA.
  • Nieraj Jain
    Casey Eye Institute, Oregon Health & Science University, 3375 SW Terwilliger Blvd, Portland, OR 97205, USA; Department of Ophthalmology, Emory University, 1365B Clifton Rd, Atlanta, GA 30322, USA.
  • Miao Zhang
    gRED Computational Science, Genentech, Inc., South San Francisco, California.
  • Richard G Weleber
    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.
  • Mark E Pennesi
    Casey Eye Institute, Oregon Health & Science University, 3375 SW Terwilliger Blvd, Portland, OR 97205, USA.
  • Yali Jia
    Casey Eye Institute, Oregon Health and Science University, Portland, Oregon.

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