Using phase gradient autofocus (PGA) algorithm for restoration OCT images with diffraction limited resolution

Alexander A. Moiseev; Grigory V. Gelikonov; Pavel A. Shilyagin; Valentin M. Gelikonov

doi:10.1117/12.874372

11 February 2011 Using phase gradient autofocus (PGA) algorithm for restoration OCT images with diffraction limited resolution

Alexander A. Moiseev, Grigory V. Gelikonov, Pavel A. Shilyagin, Valentin M. Gelikonov

Author Affiliations +

Proceedings Volume 7889, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XV; 78893D (2011) https://doi.org/10.1117/12.874372
Event: SPIE BiOS, 2011, San Francisco, California, United States

Abstract

In this paper we show the ability of well known in Synthetic Aperture Radar applications Phase Gradient Autofocus to recover defocused Optical Coherence Tomography images and achieve lateral resolution about 5 um at wide depth range. High-resolution details could be recovered from far-from-focal plane (defocused) regions. Both numerical simulations and experiment have been performed to demonstrate the ability of the method.

Citation Download Citation

Alexander A. Moiseev, Grigory V. Gelikonov, Pavel A. Shilyagin, and Valentin M. Gelikonov "Using phase gradient autofocus (PGA) algorithm for restoration OCT images with diffraction limited resolution", Proc. SPIE 7889, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XV, 78893D (11 February 2011); https://doi.org/10.1117/12.874372

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