Consistent image registration
Consistent image registration
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DOI：
10.1109/42.932742
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发表时间：
2001-07-01
影响因子：
10.6
通讯作者：
Johnson, HJ
中科院分区：
文献类型：
--
作者：
Christensen, GE;Johnson, HJ
本文提出了一种新的图像配准方法的基础上，联合估计的前，后两幅图像之间的变换，同时限制这些变换是彼此的逆。这种方法产生了一组一致的变换，具有较少的成对配准误差，即，更好的对应性，比传统的方法，独立地估计正向和反向变换。变换迭代估计，并限制保持拓扑约束他们遵守连续介质力学的法律。变换参数化的傅立叶级数对角化的连续介质力学约束的协方差结构，并提供一个计算效率高的数值实现。使用线性弹性材料约束的结果使用磁共振和ii射线计算机断层摄影图像数据。结果表明，联合估计的一组一致的前向和反向变换约束的线性弹性得到更好的配准结果比单独使用或根本没有约束。
This paper presents a new method for image registration based on jointly estimating the forward and reverse transformations between two images while constraining these transforms to be inverses of one another. This approach produces a consistent set of transformations that have less pairwise registration error, i.e,, better correspondence, than traditional methods that estimate the forward and reverse transformations independently. The transformations are estimated iteratively and are restricted to preserve topology by constraining them to obey the laws of continuum mechanics. The transformations are parameterized by a Fourier series to diagonalize the covariance structure imposed by the continuum mechanics constraints and to provide a computationally efficient numerical implementation. Results using a linear elastic material constraint are presented using both magnetic resonance and ii-ray computed tomography image data. The results show that the joint estimation of a consistent set of forward and reverse transformations constrained by linear-elasticity give better registration results than using either constraint alone or none at all.