活动区域分割的有限元变形网格

K. Popuri, Dana Cobzas, Martin Jägersand
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引用次数: 4

摘要

提出了一种基于扩散正则化的有限元变形模型的基于模板的多区域分割方法。我们提出的方法在计算上比使用非参数或基于b样条变形模型的传统基于模板的分割方法更有效,因为它显着减少了与基于模板的分割中出现的能量最小化相关的自由度(DOF)的数量。此外,与所有基于模板的分割方法一样,我们的方法能够保留模板中定义的初始感兴趣区域(roi)的拓扑结构,这对于解剖结构的分割非常有用。对具有不同解剖结构的医学图像的分割结果表明,该方法在不影响分割精度的前提下提高了计算效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A FEM deformable mesh for active region segmentation
We propose a novel template-based multi-region segmentation method using a finite element method (FEM) deformation model with diffusion-based regularization. Our proposed method is computationally more efficient than the traditional template-based segmentation methods that use non-parametric or B-spline based deformation models, as it significantly reduces the number of degrees of freedom (DOF) associated with the energy minimization that arises in template-based segmentation. Further, like all template-based segmentation approaches our method is able to preserve topology of the initial regions of interest (ROIs) defined in the template, which is very useful for segmentation of anatomical structures. Segmentation results on medical images with various anatomical structures show that the proposed method improves computational efficiency without compromising segmentation accuracy.
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