SGER: Computer Aided Robotic Burn Debridement

SGER：计算机辅助机器人烧伤清创术

• 批准号: 9628840
• 负责人: Bartholomew Nnaji
• 金额: $ 5万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-04-01 至 1998-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9628840&HistoricalAwards=false
• 关键词: SGER; Computer; Aided; Robotic; Burn

9628840 Nnaji This Small Grant for Exploratory Research award investigates ways that technologies used in manufacturing automation can be used in health fields, specifically in the treatment of burns. Burn debridement is the process where burn damaged skin is removed to determine the depth of a burn and the presence of viable skin tissue. Today a surgeon uses lasers to perform this task by vaporizing burned tissue. This is a tedious task for the surgeon and dangerous for an already weakened patient because of the difficulty in controlling the depth of penetration of the laser. This award will investigate the integration of technologies used in manufacturing to perform the burn debridement task. The technical approach uses structured light scanning to construct a Non-Uniform Rational B-Spline (NURBS) model of the treatment area, NASA developed sensing technology for burn depth sensing, and Numerical Control (NC) programming to guide the surgical laser mounted on a robotic end effector. The high risk, high payoff aspects of this research are the technical challenge of being able to use the scan data, even with a surgeon's interaction, to determine the required treatment and laser energy levels, and once that is determined assure a constant stand off distance if the patient moves, however, the payoff is faster and less traumatic wound preparation. This also presents a new opportunity for designers and integrators of manufacturing automation equipment and systems.

Nnaji这项探索性研究小额赠款旨在研究制造自动化中使用的技术如何应用于健康领域，特别是烧伤的治疗。烧伤清创是去除烧伤受损皮肤以确定烧伤深度和存活皮肤组织存在的过程。今天，外科医生使用激光通过蒸发烧伤组织来完成这项任务。对于外科医生来说，这是一项乏味的工作，对于已经虚弱的病人来说，这是一项危险的工作，因为很难控制激光穿透的深度。该合同将研究制造中用于执行烧伤清创任务的集成技术。该技术方法使用结构光扫描来构建治疗区域的非均匀合理b样条（NURBS）模型，NASA开发的烧伤深度传感技术，以及数控（NC）编程来引导安装在机器人末端执行器上的手术激光。这项研究的高风险和高回报方面是能够使用扫描数据的技术挑战，即使是外科医生的互动，也能确定所需的治疗和激光能量水平，一旦确定了，如果病人移动，保证恒定的距离，然而，回报是更快，更少的创伤性伤口准备。这也为制造自动化设备和系统的设计者和集成商提供了一个新的机会。