Process Algorithms for Resolution Improvement and Contrast Enhancement in Optical Coherence Tomography

Abstract

We proposed two process algorithms for resolution improvement and contrast enhancement in the images of optical coherence tomography (OCT). An OCT system with a non-Gaussian light source spectrum or dispersion mismatch usually results in sidelobes in the interference fringe envelope that may produce artifacts and reduce image contrast. Based on the concept of deconvolution, we proposed two different process algorithms and demonstrated their effectiveness in retrieving sample structures. The effects of the process algorithms were examined by numerical simulations and real OCT scanning images. After processing with the proposed procedures, the effects of sidelobes were tremendously suppressed and the image qualities were improved.