In this paper, we propose an innovative Graphical User Interface (GUI) aimed at improving preoperative planning and intra-operative guidance for precise spinal screw placement through vertebrae segmentation. The methodology encompasses both front-end and back-end computations. The front end comprises a GUI that allows surgeons to precisely adjust the placement of screws on X-Ray images, thereby improving the simulation of surgical screw insertion in the patient's spine. On the other hand, the back-end processing involves several steps, including acquiring spinal X-ray images, performing pre-processing techniques to reduce noise, and training a neural network model to achieve real-time segmentation of the vertebrae. The integration of vertebral segmentation in the GUI ensures precise screw placement, reducing complications like nerve injury and ultimately improving surgical outcomes. The Spine-Vision provides a comprehensive solution with innovative features like synchronous AP-LP planning, accurate screw positioning via vertebrae segmentation, effective screw visualization, and dynamic position adjustments. This X-ray image-based GUI workflow emerges as a valuable tool, enhancing precision and safety in spinal screw placement and planning procedures.

通过椎骨分割，本研究提出了一种创新的图形用户界面（GUI），旨在改善术前计划和术中指导，实现精确脊柱螺钉定位。该方法包括前端和后端计算。前端包含一个GUI，允许外科医生在X射线图像上精确调整螺钉的位置，从而改善患者脊柱内手术螺钉插入的模拟。另一方面，后端处理包括获取脊柱X射线图像，进行预处理技术以减少噪音，并训练神经网络模型以实现椎骨的实时分割。GUI中的椎骨分割的集成确保精确的螺钉定位，减少神经损伤等并最终改善手术结果。Spine-Vision提供了一种综合解决方案，具备同步的AP-LP计划、通过椎骨分割的精确螺钉定位、有效的螺钉可视化和动态位置调整等创新功能。这种基于X射线图像的GUI工作流程成为一种宝贵工具，提高了脊柱螺钉定位和计划手术的精确性和安全性。

基于脊柱视觉X射线图像的增强型YOLOv5脊柱螺钉GUI规划方法