Registration of 3D Retinal Optical Coherence Tomography Data and 2D Fundus Images

This paper is focused on multimodal and multidimensional image data registration: the three-dimensional retinal optical coherence tomographic (OCT) data and two-dimensional color images of fundus. The registration of these two modalities is not common in retinal image processing, but it might help to remove the moving artifacts in OCT and correct the true positions of acquired OCT scans on retina. The proposed framework consists of three steps: global dataset pre-registration, preprocessing and OCT to fundus image registration. Two alternating registration criteria are used in the main step due to changing spatial image properties. Three-parametric spatial transformation (shift and scale) for each OCT scan and exhaustive search is used in this preliminarily work. The achieved results are presented on several examples.