XR系统实现心导管6自由度实时追踪,显著提升介入手术训练效率与精准度。
Enhanced Real-Time 6-DOF Extended Reality Catheter Tracking for Evaluating Potential Improvement in Efficiency, Precision, and Depth Perception for Cardiac Interventions
- 融合机器视觉与电编码器,实现导管5-DOF追踪+滚动角测量,完成全6-DOF重建。
- 3D组任务用时54.6秒、导管移动1939毫米,比2D组快5倍、行程少87%。
- 沉浸式3D可视化更易操作,提升精度与稳定性,适合术前训练与教学使用。
尽管三维超声技术取得进展,大多数经皮心脏介入仍依赖二维可视化,限制了深度感知与空间理解。为此,我们开发了一种基于扩展现实(XR)的平台,可在患者特异性三维心脏模型中实现实时六自由度(6-DOF)导管追踪与可视化。系统结合定制机器视觉算法实现5-DOF导管追踪,以及3D打印的机电编码器测量导管滚动,完成完整的6-DOF运动重构。在概念验证研究中,20名新手医学生使用沉浸式3D视图或传统2D导管室视图导航腔内超声(ICE)导管至六个解剖目标。3D组平均用时54.6秒,导管行程1,939毫米;2D组则为267.5秒和7,854毫米。因此,3D系统速度超过5倍,行程减少约87%。3D模式还提升了定位精度,降低了性能差异。参与者普遍评价3D沉浸式可视化在准确性、速度、易用性和临床价值上更优。运动学分析显示,3D组在深度轴向导航更平滑,而2D用户依赖反复修正动作。结果表明,基于XR的可视化可显著提升手术训练效率、精度与运动控制。
原文摘要 · Abstract (English)
Despite advances in 3D ultrasound, most percutaneous cardiac interventions still rely on 2D visualization, limiting depth perception and spatial understanding. To address this challenge, we developed an Extended Reality (XR)-based platform that enables real-time six-degree-of-freedom (6-DOF) catheter tracking and visualization within a patient-specific 3D heart model. The system combines a custom machine-vision algorithm for 5-DOF catheter tracking with a 3D-printed electromechanical encoder that measures catheter roll, providing complete 6-DOF motion reconstruction. In a proof-of-concept study, 20 novice medical students navigated an intracardiac echocardiography (ICE) catheter to six anatomical targets using either immersive 3D visualization or a conventional 2D cathlab-style view. Participants in the 3D condition completed the task in 54.6 seconds and traveled 1,939 mm on average, compared with 267.5 seconds and 7,854 mm in the 2D condition. Therefore, the XR-based 3D system was more than 5x faster and required ~5x less catheter travel. The 3D mode also improved targeting precision and reduced performance variability. Participants consistently rated immersive visualization higher for accuracy, speed, usability, and clinical value. Kinematic analysis showed smoother depth-axis navigation in 3D, whereas 2D users relied on repeated corrective movements. These findings demonstrate that XR-based visualization can substantially improve procedural training efficiency, precision, and motor control.
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