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Determination and correction of aberrations in full field optical coherence tomography using phase gradient autofocus by maximizing the likelihood function.

Vasily MatkivskyAlexander MoiseevPavel ShilyaginAlexander RodionovHendrik SpahrClara PfäffleGereon HüttmannDierck HillmannGrigory Gelikonov
Published in: Journal of biophotonics (2020)
A method for numerical estimation and correction of aberrations of the eye in fundus imaging with optical coherence tomography (OCT) is presented. Aberrations are determined statistically by using the estimate based on likelihood function maximization. The method can be considered as an extension of the phase gradient autofocusing algorithm in synthetic aperture radar imaging to 2D optical aberration correction. The efficacy of the proposed method has been demonstrated in OCT fundus imaging with 6λ aberrations. After correction, single photoreceptors were resolved. It is also shown that wave front distortions with high spatial frequencies can be determined and corrected.
Keyphrases
  • optical coherence tomography
  • diabetic retinopathy
  • high resolution
  • copy number
  • machine learning
  • optic nerve
  • deep learning
  • high speed