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Neurosurgical robotic arm drilling navigation system
Author(s) -
Lin ChungChih,
Lin HsinCheng,
Lee WenYo,
Lee ShihTseng,
Wu ChiehTsai
Publication year - 2017
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.1790
Subject(s) - robotic arm , navigation system , computer science , drilling , artificial intelligence , simulation , engineering , mechanical engineering
Abstract Background The aim of this work was to develop a neurosurgical robotic arm drilling navigation system that provides assistance throughout the complete bone drilling process. Methods The system comprised neurosurgical robotic arm navigation combining robotic and surgical navigation, 3D medical imaging based surgical planning that could identify lesion location and plan the surgical path on 3D images, and automatic bone drilling control that would stop drilling when the bone was to be drilled‐through. Three kinds of experiment were designed. Results The average positioning error deduced from 3D images of the robotic arm was 0.502 ± 0.069 mm. The correlation between automatically and manually planned paths was 0.975. The average distance error between automatically planned paths and risky zones was 0.279 ± 0.401 mm. The drilling auto‐stopping algorithm had 0.00% unstopped cases (26.32% in control group 1) and 70.53% non‐drilled‐through cases (8.42% and 4.21% in control groups 1 and 2). Conclusions The system may be useful for neurosurgical robotic arm drilling navigation.