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基于对应云的刚性点云注册,用于图像引导手术中的图像对患者注册
Zhihao Li1,2, Manning Wang1,2
1Digital Medical Research Center of School of Basic Medical Sciences, Fudan University, Shanghai, China.
Medical physics
|June 10, 2024
概括
这项研究引入了一种用于图像引导手术的新型点云注册方法,在没有初始定位的情况下实现高精度和速度. 该方法为精确的图像与患者对齐提供了强大而高效的替代方案.
科学领域:
- 医疗成像医学成像
- 计算机视觉 计算机视觉
- 手术导航 手术导航
背景情况:
- 图像对患者的注册对于图像引导手术 (IGS) 至关重要,将手术前图像与手术内解剖结合起来.
- 传统的刚性注册方法在准确性,速度和成本上都有局限性.
- 点云注册为IGS中图像与患者的准确和高效对齐提供了一个有前途的替代方案.
研究的目的:
- 为IGS提出一种新的基于通信的刚性点云注册方法.
- 为了实现全球注册,而不需要初始定位估计.
- 开发一种对异常值不那么敏感,比现有方法更快的方法.
主要方法:
- 使用旋转轴和角度表示刚性空间转换.
- 通过安装一个分布在平面上的对应云 (CC) 来估计旋转轴.
- 从CC上预测的正常对计算旋转角度,并使用RANSAC进行精炼.
主要成果:
- 提出的方法有效地产生了高质量的通信子集,具有高的入门率.
- 在CT-Skull数据集的注册准确性和速度方面超过了传统方法 (ICP,Go-ICP,RANSAC).
- 与最近的方法 (TEASER,SC2-PCR,MAC) 取得了可比的准确性,但比TEASER快近三倍.
结论:
- 该方法成功地获得了高质量的对应子集,从而实现了高效的转换估计.
- 与现有的刚性点云注册方法相比,实现了更高的准确性和速度.
- 在IGS.中显示出图像对患者注册的巨大潜力.
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