基于双目视觉的视网膜血管三维重建

[Three-dimensional Reconstruction of Retinal Vessels Based on Binocular Vision].

作者信息

Zhou Jiayue, Han Shaofeng, Zheng Yu, Wu Zhuangzhi, Liang Qingfeng, Yang Yang

机构信息

School of Mechanical Engineering and Automation, Beihang University, Beijing, 100191. ##Email#.

School of Computer Science and Technology, Beihang University, Beijing, 100191. ##Email#.

出版信息

Zhongguo Yi Liao Qi Xie Za Zhi. 2020 Jan 8;44(1):13-19. doi: 10.3969/j.issn.1671-7104.2020.01.003.

DOI:10.3969/j.issn.1671-7104.2020.01.003

PMID:32343059

Abstract

In robot-assisted eye surgery, such as retinal vascular bypass surgery, precise positioning of operating points is required. In this study, a binocular vision-based 3D reconstruction method is proposed to locate the incision points on retinal vessels. Vessels in the image were extracted by CLAHE algorithm to remove the influence of background, then stereo matching was performed. Finally, the retinal vessel image was reconstructed by using the principle of parallax in binocular vision. Experimental results show that this method can accurately locate the incision points on retinal vessels and meet the requirements of ophthalmic surgery.

摘要

在机器人辅助眼科手术中，如视网膜血管搭桥手术，需要精确确定手术点的位置。在本研究中，提出了一种基于双目视觉的三维重建方法来定位视网膜血管上的切口点。通过CLAHE算法提取图像中的血管以消除背景影响，然后进行立体匹配。最后，利用双目视觉中的视差原理重建视网膜血管图像。实验结果表明，该方法能够准确地定位视网膜血管上的切口点，满足眼科手术的要求。