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Development and preliminary assessment of a robotic platform for neuroendoscopy based on a lightweight robot

Marta Niccolini, Virginia Castelli, Costanza Diversi, Byungjeon Kang, Federico Mussa, Edoardo Sinibaldi

发表年份
2015
引用次数
19

摘要

BACKGROUND: Ventriculostomy is a widely performed neurosurgical procedure; some risk factors can be mitigated by computer/robot-assisted approaches. Platforms fostering synergistic robot-surgeon integration are pursued, for which lightweight robots with compliant controlled joints must be assessed (because compliance hampers accuracy). METHODS: We developed a platform encompassing, in particular, a lightweight robot and an optical tracker also used to enhance robot accuracy. Based on specifications by neurosurgeons, we designed a neuroendoscope-handling interface and assessed targeting accuracy in a model ventriculostomy where the robot was operated both autonomously and in hands-on (i.e. co-operative) mode. RESULTS: Targeting errors were systematically below the procedure accuracy threshold (1 mm); the rms targeting errors were 0.51 and 0.54 mm for autonomous and hands-on control, respectively. No significant difference was observed between the considered control modes. Very positive feedback was gathered from neurosurgeons. CONCLUSIONS: Accurate tool targeting under both autonomous and hands-on control was achieved.

关键词

RobotComputer scienceInterface (matter)Surgical robotVentriculostomySimulationArtificial intelligenceMedicineSurgeryOperating system

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