Toward Safe and Collaborative Robotic Ultrasound Tissue Scanning in Neurosurgery

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Abstract
Intraoperative ultrasound imaging is used to facilitate safe brain tumour resection. However, due to challenges with image interpretation and the physical scanning, this tool has yet to achieve widespread adoption in neurosurgery. In this paper, we introduce the components and workflow of a novel, versatile robotic platform for intraoperative ultrasound tissue scanning in neurosurgery. An RGB-D camera attached to the robotic arm allows for automatic object localisation with ArUco markers, and 3D surface reconstruction as a triangular mesh using the ImFusion Suite software solution. Impedance controlled guidance of the US probe along arbitrary surfaces, represented as a mesh, enables collaborative US scanning, i.e., autonomous, teleoperated and hands-on guided data acquisition. A preliminary experiment evaluates the suitability of the conceptual workflow and system components for probe landing on a custom-made soft-tissue phantom. Further assessment in future experiments will be necessary to prove the effectiveness of the presented platform.
Funding Information
  • International Graduate School of Science and Engineering
  • TUM Graduate School
  • U.K. Research and Innovation (UKRI) Centre for Doctoral Training in AI for Healthcare (EP/S023283/1)
  • Royal Society ((URF\R\2 01014]))
  • NIHR Imperial Biomedical Research Centre

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