Eye motion correction algorithm for OCT-based corneal topography

Elias Pavlatos, David Huang, Yan Li

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


With its sequential image acquisition, OCT-based corneal topography is often susceptible to measurement errors due to eye motion. We have developed a novel algorithm to detect eye motion and minimize its impact on OCT topography maps. We applied the eye motion correction algorithm to corneal topographic scans acquired using a 70 kHz spectral-domain OCT device. OCT corneal topographic measurements were compared to those from a rotating Scheimpflug camera topographer. The motion correction algorithm provided a 2-4 fold improvement in the repeatability of OCT topography and its agreement with the standard Scheimpflug topographer. The repeatability of OCT Zernike-based corneal mean power, cardinal astigmatism, and oblique astigmatism after motion detection was 0.14 D, 0.28 D, and 0.24 D, respectively. The average differences between the two devices were 0.19 D for simulated keratometry-based corneal mean power, 0.23 D for cardinal astigmatism, and 0.25 D for oblique astigmatism. Our eye motion detection method can be applied to any OCT device, and it therefore represents a powerful tool for improving OCT topography.

Original languageEnglish (US)
Pages (from-to)7343-7356
Number of pages14
JournalBiomedical Optics Express
Issue number12
StatePublished - 2020

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics


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