中文摘要：

目的 为房颤消融提供全自动、高精度的心脏CARTO 电解剖图（electroanatomic map,EAM）与CT曲面配准算法.方法 遍历两图48种主轴对应关系,选择使得两图平均距离最小的一种,作为最终的配准结果.结果 相对临床常用的Carto-Merge影像整合软件,以及现有的随机算法,主轴配准无需任何人工操作,计算简单快速,配准精度高.结论 基于主轴的EAM与CT曲面配准算法能很好地满足临床房颤消融手术的需求.

英文摘要：

Objectives To propose an automatic and accurate CARTO electroanatomic map （ECM） and CT surface registration algorithm for atrial fibrillation （AF） operations. Methods For each of the all 48 kinds of correspondence between the axes of the two images, the average distance of EAM to CT surface is estimated, and the one with the minimum distance is chosen as the registration result. Results Compared with Carto- Merge, the most often used software in AF operations, and the traditional stochastic approaches, principal axes based registration is automatic, fast, and accurate. Conclusions The proposed principal axes based method is valid for AF operations.