This project concerns developing and validating an image guidance framework for application to a robotic-assisted fibular reduction in ankle fracture surgery. The aim is to produce and demonstrate proper functioning of software for automatic determination of directions for fibular repositioning with the ultimate goal of application to a robotic reduction procedure that can reduce the time and complexity of the procedure as well as provide the benefits of reduced error in ideal final fibular position, improved syndesmosis restoration and reduced incidence of post-traumatic osteoarthritis. The focus of this product will be developing and testing the image guidance software, from the input of preoperative images through the steps of automated segmentation and registration until the output of a final transformation that can be used as instructions to a robot on how to reposition the fibula, but will not involve developing or implementing the hardware of the robot itself.

翻译：本项目旨在开发并验证一种用于踝关节骨折手术中机器人辅助腓骨复位的图像引导框架。其目标是生成并验证能够自动确定腓骨复位方向的软件功能，最终应用于机器人复位流程，以缩短手术时间、降低手术复杂性，同时优化腓骨最终理想位置的精度、改善下胫腓联合的修复效果、降低创伤后骨关节炎的发生率。本产品的核心工作是开发与测试该图像引导软件，涵盖从术前图像输入、自动分割与配准步骤，直至输出可供机器人执行腓骨复位的最终变换指令，但不涉及机器人硬件本身的开发或实现。