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在基于超声波的导航系统中改进针头跟踪和检测,使用深度学习支持的方法.

Hui Che, Jiaxin Qin, Yao Chen

    IEEE journal of biomedical and health informatics
    |January 12, 2024
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    科学领域:

    • 医疗成像医学成像
    • 手术导航 手术导航
    • 深度学习应用程序

    背景情况:

    • 超声指导的皮肤穿刺干预需要精确的针位置才能取得成功.
    • 挑战包括可变针的回声性和超声波束错位.
    • 先进的技术旨在优化针头可视化.

    研究的目的:

    • 为了增强针头可视化和提高尖端定位精度在超声指导干预.
    • 将深度学习与光学导航系统集成为实时指导.
    • 使用光学跟踪数据开发优化的跟踪和检测算法.

    主要方法:

    • 一个新的战略,将基于超声波的深度学习与光学导航系统相结合.
    • 使用光学跟踪信息优化跟踪和检测算法.
    • 基于光学定位数据处理超声波图像,用于粗区域检测和深度得分优化.

    主要成果:

    • 实现了有前途的尖端追踪和检测性能,定位误差为1.11 ± 0.59mm和1.17 ± 0.70mm.
    • 建立了超声波图像和空间尖端坐标的配对数据集.
    • 通过真实穿孔实验验证实有效性.

    结论:

    • 拟议的方法显著改善了在超声指导干预期间的针头可视化.
    • 为医生提供增强的视觉指导,以调整姿势和准确放置针头.
    • 展示了集成深度学习和光学导航以改善程序结果的潜力.