The method is highly reliable and not sensitive to geometrical distortion, intensity inhomogeneity and data missing, and it can avoid obvious errors by adjusting initial parameters properly.

• 该算法可靠性高，对图像几何失真、灰度不均匀性及数据的缺失等不敏感，并适当调整初始化参数，可以避免明显的误配准。