Assessment and removal of additive noise in a complex optical coherence tomography signal based on Doppler variation analysis

Abstract

In this study, we investigate and validate a novel approach to assess and remove additive noise for optical coherence tomography (OCT) imaging. Our method first generates a map of additive noise for the OCT image through Doppler variation analysis. We then remove the additive noise from the real and imaginary parts of the complex OCT signal through pixel-wise Wiener filtering. Our results show that the method described in this manuscript improves the sensitivity of OCT imaging and preserves the spatial resolution, without the need to modify the imaging apparatus and data acquisition protocol.

Spatial coordinate corrected motion tracking for optical coherence elastography

“…Moreover, the accuracy of motion tracking results depends on the magnitude of OCT signal. When a pixel sees highly scattering material points and generates OCT signal with large magnitude, the motion tracking based on phase analysis is accurate and unbiased [19,23]. When the same pixel sees a different group of material points and generates OCT signal with small magnitude, the motion tracking results can be highly biased.…”