Study on Deconvolution Algorithms for Optical Coherent Tomography
Optical Coherence Tomography (OCT) is a novel tool for biomedical imaging in recent years. The noninvasive cross-section images have longitudinal resolution of a few micrometers, which is applicable to detect small organizations and structures, and the resolution is limited by the wavelength and spectrum bandwidth of the light source. Based on an interferometric OCT and following the coherence theory, a linear shift invariant system model describing coherent light specimen interactions in OCT is presented. In this study, the axial point spread function (PSF) is obtained, and the image of a double-cover-glass phantom was restored and enhanced the image sharpness by using the constrained iterative restoration (CIR) algorithm. Another deconvolution method, non-negativity and support constraints recursive inverse filtering (NAS-RIF) blind deconvolution algorithm, is also used in this study. In onion image, restored by using NAS-RIF algorithm, shows better quality than using iterative algorithm.