4D Shape Registration for Dynamic Electrophysiological Cardiac Mapping
4D Shape Registration for Dynamic Electrophysiological Cardiac Mapping
复制标题
用于动态电生理心脏测绘的 4D 形状配准
DOI：
10.1007/11866763_64
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
T. Peters
中科院分区：
文献类型：
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作者：
Kevin Wilson;G. Guiraudon;Douglas L. Jones;T. Peters
用于心脏标测和导航系统的3D分割心脏图像与跟踪的电生理数据的配准先前已被研究过。然而，目前还不存在动态心脏4D(3D+时间)配准方法。本文介绍了两种新的4D配准方法，该方法基于流行的迭代最近点(ICP)算法，可以应用于动态3D形状。第一种方法对动态数据的每个阶段上的3D ICP的变换进行平均，而第二种方法为每个阶段中的数据找到最接近的点对，并在所有组合的点对之间执行最小二乘拟合。实验结果表明，与使用传统的3D方法(4D误差：平移0.4 mm，旋转0.45度与3D误差：平移1.2 mm，旋转1.3度)相比，这些方法产生了更准确的转换，同时还增加了捕获范围和成功率
Registration of 3D segmented cardiac images with tracked electrophysiological data has been previously investigated for use in cardiac mapping and navigation systems. However, dynamic cardiac 4D (3D + time) registration methods do not presently exist. This paper introduces two new 4D registration methods based on the popular iterative closest point (ICP) algorithm that may be applied to dynamic 3D shapes. The first method averages the transformations of the 3D ICP on each phase of the dynamic data, while the second finds the closest point pairs for the data in each phase and performs a least squares fit between all the pairs combined. Experimental results show these methods yield more accurate transformations compared to using a traditional 3D approach (4D errors: Translation 0.4mm, Rotation 0.45 degrees vs. 3D errors: Translation 1.2mm, Rotation 1.3 degrees) while also increasing capture range and success