首页> 外文会议>Conference on Medical Imaging 2008: Imaging Processing; 20080217-19; San Diego,CA(US) >A new parametric non-rigid image registration method based on Helmholtz's theorem
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A new parametric non-rigid image registration method based on Helmholtz's theorem

机译:基于亥姆霍兹定理的参数化非刚性图像配准新方法

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Helmholtz's theorem states that, with suitable boundary condition, a vector field is completely determined if both of its divergence and curl are specified everywhere. Based on this, we developed a new parametric non-rigid image registration algorithm. Instead of the displacements of regular control grid points, the curl and divergence at each grid point are employed as the parameters. The closest related work was done by Kybic where the parameters are the Bspline coefficients of the displacement field at each control grid point. However, in Kybic's work, it is very likely to result in grid folding in the final deformation field if the distance between adjacent control grid points (knot spacing) is less than 8. This implies that the high frequency components in the deformation field can not be accurately estimated. Another relevant work is the NiRuDeGG method where by solving a div-curl system, an intermediate vector field is generated and, in turn, a well-regularized deformation field can be obtained. Though the present work does not guarantee the regularity (no mesh folding) of the resulting deformation field, which is also suffered by Kybic's work, it allows for a more efficient optimization scheme over the NiRuDeGG method. Our experimental results showed that the proposed method is less prone to grid folding than Kybic's work and that in many cases, in a multi-resolution fashion; the knot spacing can be reduced down to 1 and thus has the potential to achieve higher registration accuracy. Detailed comparison among the three algorithms is described in the paper.
机译:亥姆霍兹定理指出,在适当的边界条件下,如果在各处都指定了它的发散度和卷曲度,则可以完全确定向量场。基于此,我们开发了一种新的参数化非刚性图像配准算法。代替常规控制网格点的位移,将每个网格点处的卷曲和散度用作参数。最接近的相关工作是由Kybic完​​成的,其中参数是每个控制网格点处位移场的Bspline系数。但是,在Kybic的工作中,如果相邻控制网格点之间的距离(节距)小于8,则很可能在最终变形场中导致网格折叠。这意味着变形场中的高频分量不能准确估算。另一个相关的工作是NiRuDeGG方法,其中通过求解div-curl系统,生成了一个中间矢量场,进而可以得到规则化的变形场。尽管当前的工作不能保证所得变形场的规则性(无网格折叠),这也是Kybic的工作所遭受的,但它允许使用比NiRuDeGG方法更有效的优化方案。我们的实验结果表明,所提出的方法比Kybic的方法更不容易出现网格折叠,并且在许多情况下,它是多分辨率的。节点间距可以减小到1,因此有可能实现更高的套准精度。本文介绍了这三种算法的详细比较。

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