a School of Information Science and Technology, Zhongkai University of Agriculture and Engineering , Guangzhou , China.
b Department of Biomedical Engineering , South China University of Technology , Guangzhou , China.
Comput Assist Surg (Abingdon). 2016 Dec;21(1):46-55. doi: 10.1080/24699322.2016.1184312.
Surgical navigation systems can assist doctors in performing more precise and more efficient surgical procedures to avoid various accidents. The near-infrared optical system (NOS) is an important component of surgical navigation systems. However, several surgical instruments are used during surgery, and effectively tracking all of them is challenging. A stereo matching algorithm using two intersecting lines and surgical instrument codes is proposed in this paper. In our NOS, the markers on the surgical instruments can be captured by two near-infrared cameras. After automatically searching and extracting their subpixel coordinates in the left and right images, the coordinates of the real and pseudo markers are determined by the two intersecting lines. Finally, the pseudo markers are removed to achieve accurate stereo matching by summing the codes for the distances between a specific marker with the other two markers on the surgical instrument. Experimental results show that the markers on the different surgical instruments can be automatically and accurately recognized. The NOS can accurately track multiple surgical instruments.
手术导航系统可以帮助医生进行更精确、更高效的手术，避免各种意外。近红外光学系统（NOS）是手术导航系统的重要组成部分。然而，手术中会使用多种手术器械，有效地跟踪所有器械具有一定的挑战性。本文提出了一种使用两条相交线和手术器械编码的立体匹配算法。在我们的 NOS 中，手术器械上的标记可以被两个近红外摄像机捕获。在自动搜索并提取左右图像中标记的亚像素坐标后，通过两条相交线确定真实和伪标记的坐标。最后，通过将特定标记与手术器械上的另外两个标记之间的距离的编码相加，去除伪标记，实现精确的立体匹配。实验结果表明，不同手术器械上的标记可以被自动且精确地识别。NOS 可以准确跟踪多个手术器械。
