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A new parametric non-rigid image registration method based on Helmholtz's theorem

机译:一种基于Helmholtz定理的新的参数非刚性图像配准法

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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:Helmholtz的定理表明,具有合适的边界条件,如果在任何地方指定其分歧和卷曲,则完全确定矢量字段。基于此,我们开发了一种新的参数非刚性图像配准算法。代替常规控制网格点的位移,每个网格点的卷曲和发散被用作参数。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的位移场的Bspline系数。但是,在kybic的工作中,如果相邻控制网格点(结间距)的距离小于8,则非常可能导致最终变形场中的网格折叠。这意味着变形场中的高频分量不能准确估计。另一个相关的作品是尼鲁更新的方法,其中通过求解DIV-CURL系统,可以产生中间矢量场,并且又可以获得良好的正则化变形场。虽然本作当前的工作不保证所得变形字段的规律性(无网格折叠),但是kybic的工作也遭受的是,它允许通过尼鲁德的方法进行更有效的优化方案。我们的实验结果表明,该方法不太容易易于折叠,而不是kybic的工作,并且在许多情况下,以多分辨率的方式;结间距可以减小到1,因此有可能实现更高的登记精度。本文描述了三种算法中的详细比较。

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