Lateral image reconstruction of optical coherence tomography using one-dimensional deep deconvolution network

Background and objectives: Optical coherence tomography (OCT) is a cross-sectional imaging method utilizing a low coherence interferometry. The lateral resolution of the OCT is limited by the numerical aperture (NA) of the imaging lens. Using a high NA lens improves the lateral resolution but reduces the depth of focus (DOF). In this study, we propose a method to improve the lateral resolution of OCT images by end-to-end training of a deep 1-D deconvolution network without use of high-resolution images. Materials and methods: To improve the lateral resolution of the OCT, we trained the 1-D deconvolution network using lateral profiles of ...