Tail artifacts are a significant issue in optical coherence tomography angiography (OCTA), as they cast shadows over underlying signals and interfere with the reconstruction of 3D vessel images. While many methods have been developed to reduce these artifacts, most only shorten the tails and fail to clearly distinguish between vessels and artifacts. In this letter, we present an image processing technique designed to reduce artifacts. By combining structural images with OCTA images, we can more effectively distinguish between vessels and artifacts, leading to shorter and less pronounced tail artifacts. This method is integrated with other tail artifact removal techniques to further enhance image quality. The vessels of palm are used as samples to experimentally demonstrate the effectiveness of our technique.