面向曲面的各向异性变形场平滑隐式曲面配准

Paul C. Pearlman, I. Išgum, K. J. Kersbergen, M. Benders, M. Viergever, J. Pluim
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引用次数: 1

摘要

本文介绍了Demon算法的一种变体,该算法具有各向异性平滑项,专为具有显著保角差异的曲面配准而设计。由于所选择的隐式曲面表示,每次迭代的变形场可以很容易地定义相对于演化的曲面。各向异性平滑优先在切面上执行,保留局部复杂变形。该方法应用于从孕30周和孕40周获得的mri图像中连续新生儿皮质表面的注册。我们的方法保留了小的新褶皱的出现,同时大大降低了由此产生的变形场中的噪声。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implicit surface registration with surface-oriented anisotropic deformation field smoothing
This paper introduces a variant of the Demon's algorithm with an anisotropic smoothing term designed for the registration of surfaces with significant conformal differences. Because of the chosen implicit surface representation, the deformation field at each iteration can be easily defined with respect to the evolving surface. Anisotropic smoothing is performed preferentially in the tangent plane to the surface, preserving local, complex deformations. This method is applied to the registration of consecutive neonatal cortical surfaces from MR images acquired at 30 and 40 week gestational ages. Our method preserves the emergence of small, new folds, while greatly reducing noise in the resulting deformation field.
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