The Internet of Things (IoT) in the operating room can aid to improve the quality of the computer-aided surgical system. Patient-to-image registration is an important issue for computer-aided surgical systems. Automating the procedure of patient-to-image registration could increase tracking accuracy and lower the time consumed for performing the procedure of registration. Therefore, we propose an automatic registration method to address this issue by constructing a wireless sensor network system for surgery. A plastic fiducial object combing with specific markers is developed to perform registration in that the ultimate purpose is to integrate them into a surgical robotic system for surgical navigation. The specific markers are designed to localize the position of the small EM sensor and can be automatically detected in CT/MRI images by an automatic algorithm. The positions of the EM tracking sensors can be calibrated during the procedure of registration. Some experiments are designed and performed, and the experimental results demonstrate that the proposed registration method is robust and accurate. The proposed registration method is a foundational link of the surgical robots combing with virtual or augmented reality technology that all these technologies will be performed in further surgical navigation.

手术室中的物联网（IoT）可以帮助提高计算机辅助手术系统的质量。患者到图像的配准是计算机辅助手术系统的重要问题。使患者到图像的注册过程自动化可以提高跟踪准确性，并减少执行注册过程所花费的时间。因此，我们提出一种自动注册方法，通过构建用于手术的无线传感器网络系统来解决此问题。开发具有特定标记的塑料基准对象以进行配准，其最终目的是将它们集成到用于手术导航的手术机器人系统中。特定的标记旨在定位小型EM传感器的位置，并可以通过自动算法在CT / MRI图像中自动检测到。EM跟踪传感器的位置可以在注册过程中进行校准。设计并进行了一些实验，实验结果表明所提出的配准方法是鲁棒且准确的。提出的配准方法是外科机器人与虚拟或增强现实技术相结合的基础，所有这些技术都将在进一步的外科手术导航中执行。实验结果表明，所提出的配准方法是鲁棒且准确的。提出的配准方法是外科机器人与虚拟或增强现实技术相结合的基础环节，所有这些技术将在进一步的外科手术导航中执行。实验结果表明，所提出的配准方法是鲁棒且准确的。提出的配准方法是外科机器人与虚拟或增强现实技术相结合的基础，所有这些技术都将在进一步的外科手术导航中执行。