The 3-Dimensional Intelligent Structured Light Technique: A New Registration Method in Stereotactic Neurosurgery

神经导航 医学 神经外科 立体定向 立体定向手术 外科 医学物理学 人工智能 计算机视觉 计算机科学 切除术 触觉技术
作者
Du Cai,Xiu Wang,Wenhan Hu,Jiajie Mo,Huanguang Liu,Xiaoyan Li,Xixi Zheng,Xiaosheng Ding,Juan An,Yichun Hua,Jianguo Zhang,Kai Zhang,Chao Zhang
出处
期刊:Operative Neurosurgery [Lippincott Williams & Wilkins]
卷期号:27 (5): 566-572
标识
DOI:10.1227/ons.0000000000001184
摘要

BACKGROUND AND OBJECTIVES: Surface-based facial scanning registration emerged as an essential registration method in the robot-assisted neuronavigation surgery, providing a marker-free way to align a patient’s facial surface with the imaging data. The 3-dimensional (3D) structured light was developed as an advanced registration method based on surface-based facial scanning registration. We aspire to introduce the 3D structured light as a new registration method in the procedure of the robot-assisted neurosurgery and assess the accuracy, efficiency, and safety of this method by analyzing the relative operative results. METHODS: We analyzed the results of 47 patients who underwent Ommaya reservoir implantation (n = 17) and stereotactic biopsy (n = 30) assisted by 3D structured light at our hospital from January 2022 to May 2023. The accuracy and additional operative results were analyzed. RESULTS: For the Ommaya reservoir implantation, the target point error was 3.2 ± 2.2 mm and the entry point error was 3.3 ± 2.4 mm, while the operation duration was 35.8 ± 8.3 minutes. For the stereotactic biopsy, the target point error was 2.3 ± 1.3 mm and the entry point error was 2.7 ± 1.2 mm, while the operation duration was 24.5 ± 6.3 minutes. CONCLUSION: The 3D structured light technique reduces the patients’ discomfort and offers the advantage of a simpler procedure, which can improve the clinical efficiency with the sufficient accuracy and safety to meet the clinical requirements of the puncture and navigation.
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