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

SCH：克服术中数据荒漠：生物光子学、先进传感和自动化手术控制

• 批准号: 10685991
• 负责人: Patrick Codd
• 金额: $ 25.03万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-30 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10685991
• 关键词: Ablation; Address; Algorithms; Biophotonics; Computers; Data; Detection; Excision; Fluorescence Spectroscopy; Fluoroscope; Goals; Human; Image; Image-Guided Surgery; Laser Knife; Lasers; Learning; Machine Learning; Measures; Modeling; Monitor; Morbidity - disease rate; Mus; Operative Surgical Procedures; Pathologic; Patient-Focused Outcomes; Process; Research; Site; Soft tissue sarcoma; Speed; Surface; Surgeon; Surgical Oncology; System; Techniques; Technology; Testing; Tissues; Update; Work; cost; efficacy evaluation; fundamental research; histological stains; image processing; improved; mathematical model; mouse model; reconstruction; robotic system; sarcoma; scalpel; sensor; sensory system; soft tissue; success; tissue phantom; tumor

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.

该项目的总体目标是进行基础 需要研究以证明闭环外科控制系统，以促进准确，快速和 自动检测和激光切除病理组织，重点是软组织肉瘤。这样的 系统需要在检测和去除STS方面的进步，这是通过进步而实现的 术中成像和控制手术刀的控制。该系统将同时提高速度 以及进行手术的精度，从而改善患者的结局，同时降低成本 并最大程度地减少可预防发病率的毁灭性影响。成像和图像处理 这项工作中开发的技术将克服当前实践的术中“数据沙漠” 人类外科医生和机器人系统。