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心脏介入手术中增强型实时六自由度扩展现实导管追踪技术

文章背景与核心概要

传统的经皮心脏介入手术通常依赖二维（2D）可视化技术，这在很大程度上限制了医生的深度感知和空间定位能力。为了克服这一临床痛点，本文介绍了一种创新的扩展现实（XR）平台，能够在患者特定的3D心脏模型中实现实时的六自由度（6-DOF）导管追踪与可视化。

该系统巧妙地将定制的机器视觉算法（用于5自由度追踪）与3D打印的机电编码器（用于测量导管旋转）相结合，从而完整实现了6自由度运动重建。在由20名医学生参与的概念验证对比研究中，使用XR 3D系统的组别在任务完成效率上提升了5倍以上，导管移动距离减少了约5倍，且操作更平稳、修正动作更少。这项研究证明了XR可视化技术在提升手术培训效率、精准度和运动控制方面的巨大潜力。

摘要 (Summary)

This paper introduces an innovative Extended Reality (XR) platform designed to overcome the limitations of traditional 2D visualization in percutaneous cardiac interventions. By integrating a custom machine-vision algorithm with a 3D-printed electromechanical encoder, the system achieves real-time, six-degree-of-freedom (6-DOF) catheter tracking within a patient-specific 3D heart model.

In a comparative study, the XR-based 3D system demonstrated significant performance gains over conventional 2D methods: * Efficiency: Tasks were completed over 5x faster. * Precision: Catheter travel distance was reduced by approximately 5x. * Usability: Participants reported higher satisfaction regarding accuracy, speed, and clinical value, with kinematic analysis confirming smoother navigation and fewer corrective movements.

本文介绍了一个创新的扩展现实（XR）平台，旨在克服传统二维可视化在经皮心脏介入手术中的局限性。通过将定制的机器视觉算法与3D打印的机电编码器相结合，该系统能够在患者特定的3D心脏模型内实现实时的六自由度（6-DOF）导管追踪。

在一项对比研究中，基于XR的3D系统表现出显著优于传统2D方法的性能优势： * 效率： 任务完成速度提升了5倍以上。 * 精度： 导管移动距离减少了约5倍。 * 可用性： 参与者对准确性、速度和临床价值的满意度更高，运动学分析证实其导航更加平稳、纠正性动作更少。

作者 (Authors)

  • Mohsen Annabestani
  • Sandhya Sriram
  • Andrew Kuzemczak
  • S. Chiu Wong
  • Alexandros Sigaras
  • Bobak Mosadegh
  • Mohsen Annabestani
  • Sandhya Sriram
  • Andrew Kuzemczak
  • S. Chiu Wong
  • Alexandros Sigaras
  • Bobak Mosadegh

论文摘要 (Abstract)

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.

尽管3D超声技术取得了进展，但大多数经皮心脏介入手术仍依赖2D可视化，这限制了深度感知和空间理解能力。为了应对这一挑战，我们开发了一个基于扩展现实（XR）的平台，能够在患者特定的3D心脏模型中实现实时的六自由度（6-DOF）导管追踪和可视化。

该系统将用于5自由度导管追踪的定制机器视觉算法与测量导管滚转（roll）的3D打印机电编码器相结合，提供了完整的6自由度运动重建。在一项概念验证研究中，20名新手医学生使用沉浸式3D可视化或传统的2D导管室风格视图，将心腔内超声（ICE）导管导航至六个解剖目标。

3D条件下的参与者平均用时54.6秒，导管移动距离为1,939毫米；而在2D条件下，平均用时为267.5秒，移动距离为7,854毫米。因此，基于XR的3D系统速度快了5倍以上，且导管行程减少了约5倍。3D模式还提高了瞄准精度并降低了操作性能的变异性。参与者对沉浸式可视化在准确性、速度、可用性和临床价值方面的评分始终较高。运动学分析表明，3D导航在深度轴上的移动更加平稳，而2D用户则依赖于反复的纠正性动作。这些研究结果表明，基于XR的可视化技术可以显著提高手术培训的效率、精度和运动控制能力。

元数据与访问 (Metadata & Access)

  • DOI: 10.48550/arXiv.2608.07606
  • Additional Subjects: Artificial Intelligence (cs.AI), Human-Computer Interaction (cs.HC), Image and Video Processing (eess.IV)
  • Full-Text: View PDF