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使用 OFDR 数据对光纤形状传感模型进行最小侵入性前列腺针手术的评估.

Jacynthe Francoeur1, Raman Kashyap2, Samuel Kadoury3

  • 1Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218 USA.

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概括

与Lie组理论模型 (LGTM) 相比,线性插曲模型 (LIM) 为前列腺干预提供更快,实时的形状感应,特别是在ex vivo组织中,指导临床策略.

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科学领域:

  • 生物医学工程 生物医学工程
  • 医疗机器人 医疗机器人
  • 光学传感传感器是什么?

背景情况:

  • 精确的针形状感应对于精确的前列腺干预至关重要.
  • 光纤形状传感为实时跟踪提供了一个有前途的解决方案.

研究的目的:

  • 系统地评估和比较两个光纤形状感应模型:线性互插模型 (LIM) 和谎言组理论模型 (LGTM).
  • 评估前列腺针干预的各种幻象和组织类型的模型性能.

主要方法:

  • 使用了一个带有三纤维光学频域反射计 (OFDR) 传感器的单针.
  • 使用软件定义的应变点选择模拟稀疏和准分布式传感配置.
  • 在凝幽灵,ex vivo组织和尸体猪模型中评估模型.

主要成果:

  • 弗里德曼测试显示,LIM和LGTM之间的根平均平方误差 (RMSE) 有显著差异 (p <0.05).
  • 在ex vivo组织中,LIM的表现优于LGTM.
  • LIM展示了超过50倍的快速计算 (<1 ms vs. >40 ms per shape),使实时应用成为可能.

结论:

  • LIM为前列腺针干预提供了一个计算高效和准确的形状感应解决方案.
  • 模型选择涉及复杂性,传感密度,计算负载和组织可变性之间的权衡.
  • 这些发现为在临床和基于针的机器人手术中选择形状感应策略提供了指导.