arXiv:2508.10554cs.CV2025-08中稿 · ed被引 1

AR导航通过实时追踪工具提升脑外科导管植入精度与体验。

AR Surgical Navigation with Surface Tracing: Comparing In-Situ Visualization with Tool-Tracking Guidance for Neurosurgical Applications

  • 用表面追踪注册患者解剖,结合红外追踪实现导管实时定位。
  • 工具追踪组在误差、角度偏差和深度精度上均优于静态可视化组。
  • 适合关注AR手术导航实用性的临床研究者与工程师。

增强现实(AR)手术导航系统正成为下一代术中引导技术,有望克服传统导航的局限。然而,由于辐辏-调节冲突导致的深度感知问题,以及当前商用显示技术在遮挡处理上的不足,在对精度要求极高的外科环境中构成严峻挑战。本研究提出一种新方法,利用AR引导在模拟模型上进行外引流管置入,通过新型表面追踪技术将目标位置与患者注册,并仅依赖HoloLens 2的内置传感器,结合实时红外工具追踪实现导管定位。12名受试者在两种AR引导模式下完成模拟置入:静态在位可视化(直接叠加计划路径至患者解剖)与实时工具追踪引导(提供导管姿态相对于计划的实时反馈)。术后对模型进行计算机断层扫描,评估插入精度、靶点偏差、角度误差和深度精度。系统可用性量表(SUS)评估用户体验与认知负荷。结果显示,工具追踪引导在所有精度指标上均更优,且用户主观评价更偏好该模式。论文及全部补充材料可免费获取:https://bit.ly/45l89Hq。

原文摘要 · Abstract (English)

Augmented Reality (AR) surgical navigation systems are emerging as the next generation of intraoperative surgical guidance, promising to overcome limitations of traditional navigation systems. However, known issues with AR depth perception due to vergence-accommodation conflict and occlusion handling limitations of the currently commercially available display technology present acute challenges in surgical settings where precision is paramount. This study presents a novel methodology for utilizing AR guidance to register anatomical targets and provide real-time instrument navigation using placement of simulated external ventricular drain catheters on a phantom model as the clinical scenario. The system registers target positions to the patient through a novel surface tracing method and uses real-time infrared tool tracking to aid in catheter placement, relying only on the onboard sensors of the Microsoft HoloLens 2. A group of intended users performed the procedure of simulated insertions under two AR guidance conditions: static in-situ visualization, where planned trajectories are overlaid directly onto the patient anatomy, and real-time tool-tracking guidance, where live feedback of the catheter's pose is provided relative to the plan. Following the insertion tests, computed tomography scans of the phantom models were acquired, allowing for evaluation of insertion accuracy, target deviation, angular error, and depth precision. System Usability Scale surveys assessed user experience and cognitive workload. Tool-tracking guidance improved performance metrics across all accuracy measures and was preferred by users in subjective evaluations. A free copy of this paper and all supplemental materials are available at https://bit.ly/45l89Hq.

AR导航脑外科工具追踪手术精度

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。