自主机器人超声波扫描系统:提高图像分析可重现性和超声波成像中的观察者一致性的关键
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Xin-Xin Lin1, Ming-De Li1, Si-Min Ruan1
1Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Ultrasomics Artificial Intelligence X-Lab, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
开发了一个自主机器人超声波扫描系统 (auto-RUSS) 管道,以提高超声波图像的可复制性. 这种机器人系统在超声波检查中最大限度地减少了人类的变化,提高了图像采集和分析的一致性.
科学领域:
- 机器人和自动化 机器人和自动化
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 超声波检查容易产生取决于操作者的变异性,影响诊断的准确性和可重复性.
- 标准化超声波程序对于一致的临床结果和可靠的AI辅助诊断至关重要.
研究的目的:
- 开发和评估一个自主机器人超声波扫描系统 (auto-RUSS) 管道.
- 为了比较自动RUSS的可复制性和观察者一致性,与不同专业的医生进行了比较.
- 评估自动化对图像采集,测量和人工智能辅助分类的影响.
主要方法:
- 设计了一个7度自由度的机器人手臂,具有力量控制和视觉伺服,用于实时调节.
- 进行了人机比较实验,使用两个幽灵与三个组进行比较:自动RUSS,非专家医生和专家医生.
- 使用变化系数 (COV) 量化变异性,使用平均值和标准偏差 (SD) 评估性能/可重现性.
主要成果:
- 自动RUSS证明了在超声波检查中显著降低操作者依赖的变化潜力.
- 在探针接触力,图像采集和图像测量中观察到更好的重复性和一致性.
- 该系统提高了人工智能辅助诊断模型性能的可重现性.
结论:
- 拟议的自动RUSS管道有效地提高了超声波图像的可重现性.
- 自主机器人系统可以在超声波扫描中最大限度地减少人为诱导的变化.
- 自动RUSS为标准化和一致的超声波检查提供了一个有前途的方法.
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