基于配准点自动对应的三维颅骨配准

H. Du, Guohua Geng, Kang Li, Yiyue He
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引用次数: 3

摘要

针对三维颅骨精确配准的问题,引入多尺度约束的球体积积分不变量,实现参考颅骨配准点集与目标颅骨配准点集的点对应,提出了一种基于ICP和TPS的三维颅骨配准方法。首先将参考颅骨和目标颅骨统一到法兰克福坐标系;其次,建立两个颅骨的配准点集,包括用半自动方法标定的特征点和通过八叉树选择的采样点;第三,利用基于体积积分不变量的多尺度约束完成点对应。最后,通过ICP实现粗配准,利用TPS实现精确的全局非刚性配准。实验表明,该算法有效地提高了颅骨配准的精度。
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3D Skull Registration Based on Registration Points Automatic Correspondence
Aiming at the precise 3D skull registration, ball volume integral invariants for multi-scale constraints is introduced to realize point correspondence between registration point sets of reference skull and that of target skull, a method of 3D skull registration based on ICP and TPS is proposed. Firstly, get reference skull and target skull unified to frankfurt coordinate system. Secondly, establish registration point sets for the two skull, the sets inlcude feature points calibrated by semi-automatic method and sampling points selected through octree. Thirdly, use the multi-scale constraints based on volume integral invariants to complete the point correspondence. Finally, carry out ICP to realize coarse registration and use TPS to achieve accurate global non-rigid registration. The experiments show our algorithm improves the precision of skull registration effectively.
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