边界轮廓特征的多分辨率弹性配准

Multi-resolution Elastic Registration Using Edge Contour Features

提出一种基于边界轮廓的多分辨率弹性配准方法.首先用C-V(Chan-Vese)模型提取人脑图像的边界轮廓.接着使用模拟退火方法结合B样条插值函数来配准边界轮廓点集,在退火过程中通过使用多分辨率策略,在获得精细边界轮廓的同时加快了配准速度.最后利用B样条插值函数完成图像配准.实验结果表明,该算法在保证与同类算法相同精度的前提下,实现了快速弹性配准.

A multi-resolution elastic registration method based on edge contour is presented. The C-V （Chan-Vese） model is applied to extract source and target contours from two human brain MR images. A multi-resolution simulated annealing procedure is proposed to match the two contour point sets with low computation cost. This way, a fast elastic registration method using B-spline interpolation function is obtained. Experimental results show that the proposed method provides fast image registration without loss of precision.