SCH: Overcoming the Intraoperative Data Desert: Biophotonics, Advanced Sensing, and Control for Automated Surgery

该项目的总体目标是进行基础 需要进行研究，以展示一种可促进准确、快速和 病理组织的自动检测和激光切除，重点是软组织肉瘤。这样的一个 系统需要在检测和移除STS方面都有所进步，这是通过以下方面的进步来实现的 术中分别对激光手术刀进行成像和对照。该系统将既提高速度又提高速度 和手术的精确度，从而在降低成本的同时改善患者的预后 并最大限度地减少可预防疾病的破坏性影响。成像与图像处理 这项工作中开发的技术将克服当前手术实践中的“数据沙漠” 无论是人类外科医生还是机器人系统。

The overarching goal of this project is to conduct the foundational research needed to demonstrate a closed-loop surgical control system that facilitates accurate, rapid, and automated detection and laser resection of pathologic tissue with a focus on soft tissue sarcomas. Such a system requires advancements in both detection and removal of STS, achieved through advances in intraoperative imaging and control oflaser scalpels, respectively. This system will increase both the speed and precision at which surgery is performed, thereby improving patient outcomes while reducing costs and minimizing the devastating impacts of preventable morbidity. The imaging and image processing technique developed in this work will overcome the intraoperative "data desert" of current practice for both human surgeons and robotics systems.