Towards Safe and Collaborative Robotic Ultrasound Tissue Scanning in Neurosurgery
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arXiv
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| Hauptverfasser: | , , , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866914629303664640 |
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| author | Dyck, Michael Weld, Alistair Klodmann, Julian Kirst, Alexander Dixon, Luke Anichini, Giulio Camp, Sophie Albu-Schäffer, Alin Giannarou, Stamatia |
| author_facet | Dyck, Michael Weld, Alistair Klodmann, Julian Kirst, Alexander Dixon, Luke Anichini, Giulio Camp, Sophie Albu-Schäffer, Alin Giannarou, Stamatia |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_08409 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Towards Safe and Collaborative Robotic Ultrasound Tissue Scanning in Neurosurgery Dyck, Michael Weld, Alistair Klodmann, Julian Kirst, Alexander Dixon, Luke Anichini, Giulio Camp, Sophie Albu-Schäffer, Alin Giannarou, Stamatia Robotics Systems and Control 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. |
| title | Towards Safe and Collaborative Robotic Ultrasound Tissue Scanning in Neurosurgery |
| topic | Robotics Systems and Control |
| url | https://arxiv.org/abs/2312.08409 |