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性的 研究需要证明一个闭环手术控制系统，有利于准确，快速， 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 系统需要在探测和清除STS方面取得进展，通过以下方面的进展来实现： 术中成像和激光手术刀的控制。这个系统将提高速度 和精确度，从而在降低成本的同时改善患者的治疗效果 最大限度地减少可预防疾病的破坏性影响。成像和图像处理 这项工作中开发的技术将克服目前实践中的术中“数据沙漠”， 包括人类外科医生和机器人系统。