Three-Dimensional Segmentation of Retinal Vessels in Optical Coherence Tomography with the Help of Scanning Laser Ophthalmoscopy

Purpose: To evaluate a new approach based on luminance changes by combining the scanning laser ophthalmoscopy and optical coherence tomography imaging techniques to acheive 3D segmentation of the retinal vessels and improve the retinal vasculature imaging. Methods: A multifaceted process for the 3D segmentation of retinal blood vessels in optical coherence tomography slices of fundus ophthalmic images with the help of scanning laser ophthalmoscopy was devised. The proposed algorithm has two distinct clauses, which include 2D and 3D segmentation of the retinal blood vessels based on the calculation of the 2D features of the blood vessels. Results: Our method for three-dimensional segmentation of retinal vessels in optical coherence tomography images with the help of scanning laser ophthalmoscopy imaging achieved a better reconstruction of retinal vessels in optical coherence tomography image. Conclussion: Our method was able to improve the imaging of retinal vesels. Further studies in the field of retinal imaging are recommended to achieve better imaging of retinal vesels.