Automated contact lens measurement using optical coherence tomography

Bryan R. Davidson, Jennifer K. Barton

Research output: Contribution to journalConference article

Abstract

Optical Coherence Tomography (OCT) is a non-destructive imaging modality that has proven to be a useful tool for making quantitative measurements in a variety of applications. One area where non-destructive quantitative measurement is important is contact lens metrology, specifically prism. Prism is defined as the difference between the largest and smallest thickness measured at a fixed distance from the contact lens edge. We developed and tested an algorithm that automatically analyzes OCT images to accurately measure contact lens thickness. Images were obtained with the Thorlabs OCT930SR spectral radar OCT system. An automated rotation stage was used to precisely rotate the OCT probe 360° in small increments to acquire OCT images along the entire outer edge of the contact lens. The algorithm was able to successfully analyze hundreds of OCT images. For comparison, measurements were taken by physically slicing contact lenses and manually measuring their thickness using a microscope. The error between the two measurements had a mean of -1.268 μm and a range of 9.041 μm. Thickness measurements were repeatable with a maximum range of 1.8 μm. The success of the algorithm has demonstrated the possibility of using OCT images for performing non-destructive contact lens metrology.

Original languageEnglish (US)
Article number71690Q
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7169
DOIs
StatePublished - Jun 8 2009
EventAdvanced Biomedical and Clinical Diagnostic Systems VII - San Jose, CA, United States
Duration: Jan 25 2009Jan 26 2009

Keywords

  • Contact lens
  • Image analysis
  • Optical coherence tomography
  • Refraction correction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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