Display-based augmented reality navigation for CT-Guided thoracoabdominal punctures: phantom study of accuracy and workflow efficiency

成像体模 增强现实 工作流程 计算机科学 计算机视觉 经皮 导航系统 人工智能 职位(财务) 模拟 生物医学工程 医学物理学 影像引导手术 迭代重建 放射科
作者
Jihong Chen,Tiansheng Liu,Xiaolong Wang,Xuhui Jiang,Penggang Bai,Binwei He,Zhuting Fang
出处
期刊:Biomedical Physics & Engineering Express [IOP Publishing]
卷期号:12 (2): 025064-025064
标识
DOI:10.1088/2057-1976/ae5827
摘要

Accurate needle placement is critical in percutaneous thoracoabdominal interventions. Conventional CT-guided procedures are limited by iterative scans, operator-dependent variability, and two-dimensional visualization. This preclinical study evaluates a novel display-based augmented reality (AR) navigation system integrating virtual-to-real registration via deltille grid position sensing (DGPS) markers for enhanced needle guidance. Experiments were conducted on a CIRS abdominal phantom with three operators: one expert interventional radiologist and two novices. Puncture accuracy, angular deviation, procedure time, and number of verification scans were assessed. AR guidance achieved first-pass distance errors of 1.50 (0.46) mm for the expert and 1.66 (0.50) mm and 1.58 (1.06) mm for novices, with angular deviations of 1.41°, 1.30°, and 1.39°, respectively. No significant operator-related differences were observed. Compared with conventional step-and-shoot CT guidance, AR guidance reduced the first-pass and final-pass targeting error, while conventional CT guidance relies on iterative scan-adjust-advance steps to achieve acceptable final accuracy, with AR reducing intermediate re-scans while retaining a single final verification scan. The findings indicate that AR navigation enhances first-pass precision, reduces procedural variability, and improves workflow efficiency, supporting its potential clinical value for more consistent and efficient minimally invasive interventions.
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