Three-dimensional Reconstruction of Retinal Blood Vessels based on Binocular Vision

Chao-liang Wu, Zhiming Lv, Hua-zhu Liu, Xiaoqing Zhao
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Abstract

Due to the limited perception ability of the naked eye, it is difficult to accurately locate the micro scale retinal vessels, which is easy to cause organ damage in the process of surgery. Therefore, the retinal vascular reconstruction method based on binocular stereo vision is studied. Firstly, build a binocular vision detection system and then calibrate and correct the system. Secondly, filter and segment the collected 3D printed eyeball blood vessel model image, and calculate the parallax and depth map by constructing the error energy function. After that, the high-precision 3D point cloud model can be obtained. Finally, the error analysis of three-dimensional point cloud is carried out by binocular parallax principle. The experimental results show that this method can control the error within 0.5 mm and meet the requirements of retinal vascular surgery.
基于双目视觉的视网膜血管三维重建
由于肉眼感知能力有限,难以准确定位微尺度视网膜血管,极易在手术过程中造成器官损伤。为此,研究了基于双目立体视觉的视网膜血管重建方法。首先搭建双目视觉检测系统,然后对系统进行标定和校正。其次,对采集到的3D打印眼球血管模型图像进行滤波和分割,通过构造误差能量函数计算视差图和深度图;然后得到高精度的三维点云模型。最后,利用双目视差原理对三维点云进行了误差分析。实验结果表明,该方法可将误差控制在0.5 mm以内,满足视网膜血管手术的要求。
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