AR+机器人超声结合锥形束CT,提升脊柱手术精准度与操作体验。
Feasibility of Augmented Reality-Guided Robotic Ultrasound with Cone-Beam CT Integration for Spine Procedures
- 融合CBCT三维模型与实时超声,实现术中脊柱结构可视化
- 实验显示AR组操作时间更短,定位误差更低,认知负荷下降
- 适合临床医生、机器人辅助手术研发者参考
脊柱介入治疗中精准穿刺至关重要,但依赖解剖标志识别与路径规划。传统影像引导常需结合CT与X光透视,导致患者与医护人员暴露于高剂量辐射,且缺乏实时3D反馈。本文提出一种光学透明增强现实(OST-AR)引导的机器人系统,通过将锥形束CT(CBCT)生成的3D脊柱模型与实时超声配准,实现术中脊柱结构的在位可视化,支持穿刺路径规划。在模拟人体实验中,16名参与者完成腰椎穿刺与关节注射两种典型操作,在两种可视化模式(常规屏幕与AR)下进行对比。结果表明:使用AR可显著缩短操作时间、降低跨任务定位误差,同时提升可用性、信任度、空间理解能力,并减轻认知负担。研究证实该AR引导机器人超声系统在脊柱介入中的可行性,具有提升准确性、效率与使用者体验的潜力。
原文摘要 · Abstract (English)
Accurate needle placement in spine interventions is critical for effective pain management, yet it depends on reliable identification of anatomical landmarks and careful trajectory planning. Conventional imaging guidance often relies both on CT and X-ray fluoroscopy, exposing patients and staff to high dose of radiation while providing limited real-time 3D feedback. We present an optical see-through augmented reality (OST-AR)-guided robotic system for spine procedures that provides in situ visualization of spinal structures to support needle trajectory planning. We integrate a cone-beam CT (CBCT)-derived 3D spine model which is co-registered with live ultrasound, enabling users to combine global anatomical context with local, real-time imaging. We evaluated the system in a phantom user study involving two representative spine procedures: facet joint injection and lumbar puncture. Sixteen participants performed insertions under two visualization conditions: conventional screen vs. AR. Results show that AR significantly reduces execution time and across-task placement error, while also improving usability, trust, and spatial understanding and lowering cognitive workload. These findings demonstrate the feasibility of AR-guided robotic ultrasound for spine interventions, highlighting its potential to enhance accuracy, efficiency, and user experience in image-guided procedures.
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