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Updated: May 15, 2025

Assessment of Thermal Damage from Robot-Drilled Craniotomy for Cranial Window Surgery in Mice

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计算机视觉引导的快速和精确的自动化骨微手术在小鼠.

Zahra S Navabi¹, Ryan Peters^1,2, Beatrice Gulner¹

¹Department of Mechanical Engineering, University of Minnesota, Twin Cities, MN, USA.

Science advances

|April 9, 2025

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一个新的机器人系统使用计算机视觉和机器学习来执行精确的部手术 (切术). 这种自动化方法显著减少了手术时间,并提高了大脑接口程序的准确性.

科学领域:

神经外科神经外科
机器人技术机器人技术机器人技术
医疗成像医学成像

背景情况:

的微手术,包括切除术,对于大脑的接口至关重要,但需要高技能,时间和精度.
由于头骨解剖学的复杂性,目前的方法可能会损害大脑和硬骨质.

研究的目的:

开发和评估计算机视觉引导的机器人系统,用于自动化,精确的骨切割.
为了缩短手术时间,提高部微手术的准确性.

主要方法:

开发了一个计算机视觉引导的切割机器人 (CV-Craniobot),利用机器学习来分析光学连贯断层扫描 (OCT) 图像.
该系统准确地估计了背部头骨解剖学,并指导机器人机床精确地切除骨头.

主要成果:

在2分钟内,CV-Craniobot在小型 (2-4毫米直径) 切除术中实现了近100%的成功率.
覆盖背部皮层的大型骨切割在不到10分钟内完成.

结论:

CV-Craniobot能够进行快速而精确的骨切割,在速度上明显超过人类从业人员.
这项技术减少了广泛的外科培训的需要,并最大限度地降低了与手动切割相关的风险.

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