Choriocapillaris evaluation in choroideremia using optical coherence tomography angiography

Simon S. Gao, Rachel C. Patel, Nieraj Jain, Miao Zhang, Richard G. Weleber, David Huang, Mark E. Pennesi, Yali Jia

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


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 en face 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.

Original languageEnglish (US)
Article number#276323
Pages (from-to)48-56
Number of pages9
JournalBiomedical Optics Express
Issue number1
StatePublished - Jan 1 2017


  • Image processing
  • Medical and biological imaging
  • Ophthalmology
  • Optical coherence tomography

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics


Dive into the research topics of 'Choriocapillaris evaluation in choroideremia using optical coherence tomography angiography'. Together they form a unique fingerprint.

Cite this