"Mitigating and Correcting Phase Noise and Sampling Errors in Optical Coherence Tomography"

In optical coherence tomography (OCT), phase noise and sample movement limit the effectiveness of advanced computational imaging techniques such as interferometric synthetic aperture microscopy (ISAM) and computational adaptive optics (CAO). Since ISAM and CAO rely on accurate spatial sampling, any uncorrected system noise will impact the final image. This presentation discusses a two-fold solution. First, by utilizing a high-speed OCT system, system noise and sample movement within a single scan are minimized. Post acquisition, a cross-correlation algorithm between adjacent frames is then applied to correct for improper spatial sampling.