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• W2769852945 abstract "Abstract Background Complete brain tumour resection is an extremely critical factor for patients' survival rate and long‐term quality of life. This paper introduces a prototype medical robotic system that aims to automatically detect and clean up brain tumour residues after the removal of tumour bulk through conventional surgery. Methods We focus on the development of an integrated surgical robotic system for image‐guided robotic brain surgery. The Behavior Tree framework is explored to coordinate cross‐platform medical subtasks. Results The integrated system was tested on a simulated laboratory platform. Results and performance indicate the feasibility of supervised semi‐automation for residual brain tumour ablation in a simulated surgical cavity with sub‐millimetre accuracy. The modularity in the control architecture allows straightforward integration of further medical devices. Conclusions This work presents a semi‐automated laboratory setup, simulating an intraoperative robotic neurosurgical procedure with real‐time endoscopic image guidance and provides a foundation for the future transition from engineering approaches to clinical application." @default.
• W2769852945 created "2017-12-04" @default.
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• W2769852945 date "2017-11-03" @default.
• W2769852945 modified "2023-10-10" @default.
• W2769852945 title "Semi-autonomous image-guided brain tumour resection using an integrated robotic system: A bench-top study" @default.
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• W2769852945 doi "https://doi.org/10.1002/rcs.1872" @default.
• W2769852945 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5762424" @default.
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