Ultra-wide field and new wide field composite retinal image registration with AI-enabled pipeline and 3D distortion correction algorithm.

Journal: Eye (London, England)
Published Date:

Abstract

PURPOSE: This study aimed to compare a new Artificial Intelligence (AI) method to conventional mathematical warping in accurately overlaying peripheral retinal vessels from two different imaging devices: confocal scanning laser ophthalmoscope (cSLO) wide-field images and SLO ultra-wide field images.

Authors

  • Fritz Gerald P Kalaw
    Jacobs Retina Center, University of California, San Diego, CA, USA.
  • Melina Cavichini
    Jacobs Retina Center, Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
  • Junkang Zhang
    Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
  • Bo Wen
  • Andrew C Lin
  • Anna Heinke
    Jacobs Retina Center, Shiley Eye Institute, University of California San Diego, La Jolla, California, USA.
  • Truong Nguyen
    Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
  • Cheolhong An
    Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
  • Dirk-Uwe G Bartsch
    Jacobs Retina Center, Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
  • Lingyun Cheng
    Jacobs Retina Center, University of California, San Diego, CA, USA.
  • William R Freeman
    Jacobs Retina Center, Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.