自主闭环控制机器人软组织电术使用RGB-D图像指导
Michael Kam1, Jiawei Ge1, Naveed D Riaziat1
1Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21211 USA.
IEEE transactions on medical robotics and bionics
|January 30, 2026
概括
这项研究介绍了一种闭环机器人电外科系统,该系统使用3D组织跟踪来提高口腔癌手术精度. 该系统显著减少了切割错误,提高了切割精度,并可能降低癌症复发率.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 手术技术 手术技术
- 人工智能的人工智能
背景情况:
- 口腔癌的治疗依赖于精确的瘤切除,通常使用电外科手术.
- 目前的自主机器人电外科手术在跟踪软组织变形方面扎,损害了切除精度.
- 精确的切除边缘对于尽量减少癌症复发至关重要.
研究的目的:
- 开发一种自主闭环机器人电外科系统,以提高外科精度.
- 为了解决在机器人电外科手术期间跟踪组织变形的挑战.
- 为了提高口腔癌手术中的切除边缘精度.
主要方法:
- 使用红绿蓝深度 (RGB-D) 传感器进行3D组织跟踪.
- 雇佣了CoTracker,一个深度学习模型,用于无标记器的组织变形跟踪.
- 集成了一个模糊逻辑控制器,可以根据实时反动态调整切割速度.
主要成果:
- 在闭环控制与开环控制中,平均切割误差减少了55% (1.2毫米至0.54毫米,p < 0.001).
- 通过使用CoTracker和工具遮算法,成功跟踪了没有先前组织建模的组织变形.
- 在ex vivo猪舌头上验证了系统疗效.
结论:
- 开发的闭环系统通过3D组织跟踪和反控制显著提高了电术切割精度.
- 基于图像的反控制有效地提高了边际精度,这是减少癌症复发的关键因素.
- 这项技术有望推动机器人手术在头部和部瘤学领域的发展.
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