Landmark-based elastic registration using approximating thin-plate splines
Landmark-based elastic registration using approximating thin-plate splines
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DOI：
10.1109/42.929618
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发表时间：
2001-06-01
影响因子：
10.6
通讯作者：
Kuhn, MH
中科院分区：
文献类型：
--
作者：
Rohr, K;Stiehl, HS;Kuhn, MH
我们考虑弹性图像配准的基础上一组相应的解剖点的地标和近似薄板样条。这种方法是原来的插值薄板样条方法的扩展，并允许考虑地标定位误差。该扩展对于临床应用是重要的，因为标志提取总是容易出错。我们的方法是基于一个最小化的功能，可以科普各向同性以及各向异性的地标错误。特别地，在后一种情况下，可以包括不同类型的地标，例如，唯一点界标以及任意边缘点。此外，该计划是一般的关于图像的尺寸和顺序的光滑性的基础功能。最佳仿射变换以及插值薄板样条是该方案的特殊情况。本地化的地标，我们使用一个半自动的方法，这是基于三维（3-D）微分算子。实验结果是二维以及3-D断层图像的人脑。
We consider elastic image registration based on a set of corresponding anatomical point landmarks and approximating thin-plate splines. This approach is an extension of the original interpolating thin-plate spline approach and allows to take into account landmark localization errors. The extension is important for clinical applications since landmark extraction is always prone to error. Our approach is based on a minimizing functional and can cope with isotropic as well as anisotropic landmark errors. In particular, in the latter case it is possible to include different types of landmarks, e.g., unique point landmarks as well as arbitrary edge points. Also, the scheme is general with respect to the image dimension and the order of smoothness of the underlying functional. Optimal affine transformations as well as interpolating thin-plate splines are special cases of this scheme. To localize landmarks we use a semi-automatic approach which is based on three-dimensional (3-D) differential operators. Experimental results are presented for two-dimensional as well as 3-D tomographic images of the human brain.