DTHB3D_Reg: Dynamic Truncated Hierarchical B-Spline Based 3D Nonrigid Image Registration
DTHB3D_Reg: Dynamic Truncated Hierarchical B-Spline Based 3D Nonrigid Image Registration
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DOI：
10.4208/cicp.oa-2017-0141
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发表时间：
2018
影响因子：
3.7
通讯作者：
Aishwarya Pawar;Y. Zhang;C. Anitescu;Yue Jia;T. Rabczuk
中科院分区：
文献类型：
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作者：
Aishwarya Pawar;Y. Zhang;C. Anitescu;Yue Jia;T. Rabczuk
我们提出了一种稳健的方法来执行适合大变形和拓扑变化的 3D 非刚性图像配准，并开发了一个名为 DTHB3D Reg（基于动态截断分层 B 样条的 3D 图像配准）的软件包。使用截断分层 B 样条定义的最佳空间变换是通过能量泛函的最小化获得的。优化过程最小化灰度图像强度值的平方差之和。控制点动态更新，无需像有限元方法那样构造大型矩阵。为了提高计算效率，自适应策略仅在变形较大的区域进行细化。所提出的方法在 3D 合成图像和医学图像上进行了演示，与其他图像配准方法相比，显示了拓扑变化的鲁棒性。 AMS 科目分类：65K10、65K05
We present a robust approach to perform 3D nonrigid image registration suitable for large deformation and topology change, and develop a software package named DTHB3D Reg (Dynamic Truncated Hierarchical B-spline based 3D Image Registration). The optimum spatial transformation, defined using truncated hierarchical B-splines, is obtained through the minimization of an energy functional. The optimization process minimizes sum of squared difference in the intensity values of the grayscale images. Control points are dynamically updated without constructing large matrices as in finite element method. To improve the computational efficiency, an adaptive strategy carries out refinement only in the regions with large deformation. The proposed method is demonstrated on 3D synthetic and medical images to show robustness on topology change as compared to other image registration methods. AMS subject classifications: 65K10, 65K05