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Radial basis functions with compact support for elastic registration of medical images

机译:径向基础功能紧凑支持医学图像的弹性套准

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Common elastic registration schemes based on landmarks and radial basis functions (RBFs) such as thin-plate splines or multiquadrics are global. Here, we introduce radial basis functions with compact support for elastic registration of medical images which have an improved locality, i.e. which allow to constrain elastic deformations to image parts where required. We give the theoretical background of these basis functions and compare them with other basis functions w.r.t. locality, solvability, and efficiency. A detailed comparison with the Gaussian as well as conditions for preserving topology is given. An important property of the used RBFs (Wendland's ψ-functions) is that they are positive definite. Therefore, in comparison to the use of the truncated Gaussian, the solvability of the resulting system of equations is always guaranteed. We demonstrate the applicability of our approach for synthetic as well as for 2D and 3D tomographic images.
机译:基于地标和径向基函数(RBF)的常见弹性配准方案(例如薄板样条或多二次方)是全局的。在这里,我们介绍了具有紧凑支持的径向基函数,用于具有更好局部性的医学图像的弹性配准,即可以在需要时将弹性变形限制在图像部分。我们给出这些基本函数的理论背景,并将它们与其他基本函数进行比较。局部性,可解性和效率。给出了与高斯的详细比较以及保持拓扑的条件。使用的RBF(Wendland的ψ函数)的一个重要属性是它们是正定的。因此,与使用截断的高斯函数相比,始终保证了所得方程组的可解性。我们证明了我们的方法对于合成以及2D和3D断层图像的适用性。

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