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基于光学照明原理的皮肤硬针活检的快速路径规划算法

Jian Liu1, Shuai Kang2, Juan Ren2

  • 1School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 201100, China.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
概括

这项研究提出了一种新的计算机辅助方法,用于快速准确地规划活检针的轨迹. 这种方法大大减少了规划时间,提高了医疗程序的安全性和效率.

关键词:
活检路径规划 活检路径规划临床评估 临床评估图形处理器 (GPU) 的优化优化机器学习是机器学习.光学加速器的光学加速器细分化 细分化的细分化

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科学领域:

  • 医学成像和图像指导干预
  • 计算机解剖学和生物力学
  • 手术规划和导航手术规划和导航

背景情况:

  • 精确的针轨迹规划对于活检程序至关重要,因为它依赖于手术前的CT成像.
  • 传统方法耗时,并与复杂的解剖结构作斗争,增加风险.
  • 计划中的延迟可能导致患者的移动,使计划的轨迹无效.

研究的目的:

  • 开发一种新的,快速和准确的方法来规划活检针的轨迹.
  • 用光学原理和计算机染来重新定义轨迹规划,将其视为最佳的穿孔部位识别问题.
  • 创建一个决策支持工具,提高活检的安全性和效率.

主要方法:

  • 从CT图像和细分使用SegResNet.Net的3D解剖模型的重建.
  • 模拟虚拟光源和扩散反射,生成皮肤表面灰度地图的候选穿孔部位.
  • 应用随机森林模型来分析灰度分布,并选择最佳的针道和入口点.

主要成果:

  • 每个样品的平均计算时间为1.905秒,比传统方法快得多.
  • 胸部外科医生的临床评估表明,78%的推途径符合临床标准,0%是不满意的.
  • 该方法在解剖学模型细分方面表现出高精度 (平均Dice相似度系数为0.9122).

结论:

  • 这种新的方法提供了一个快速,直观和可靠的决策支持工具,用于生物检查轨迹的规划.
  • 这种方法提高了穿皮活检程序的安全性和效率.
  • 这些发现表明,微创手术的计算机辅助手术规划取得了重大进展.