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Volume 23, Issue 3
DTHB3D_Reg: Dynamic Truncated Hierarchical B-Spline Based 3D Nonrigid Image Registration

Aishwarya Pawar, Yongjie Jessica Zhang, Cosmin Anitescu, Yue Jia & Timon Rabczuk

DOI: 10.4208/cicp.OA-2017-0141

Commun. Comput. Phys., 23 (2018), pp. 877-898.

Published online: 2018-03

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  • Abstract

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.

  • Keywords

3D nonrigid image registration, dynamic scheme, truncated hierarchical B-spline, adaptive refinement, topology change.

  • AMS Subject Headings

65K10, 65K05

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{CiCP-23-877, author = {Aishwarya Pawar, Yongjie Jessica Zhang, Cosmin Anitescu, Yue Jia and Timon Rabczuk}, title = {DTHB3D_Reg: Dynamic Truncated Hierarchical B-Spline Based 3D Nonrigid Image Registration}, journal = {Communications in Computational Physics}, year = {2018}, volume = {23}, number = {3}, pages = {877--898}, abstract = {

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.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2017-0141}, url = {http://global-sci.org/intro/article_detail/cicp/10552.html} }
TY - JOUR T1 - DTHB3D_Reg: Dynamic Truncated Hierarchical B-Spline Based 3D Nonrigid Image Registration AU - Aishwarya Pawar, Yongjie Jessica Zhang, Cosmin Anitescu, Yue Jia & Timon Rabczuk JO - Communications in Computational Physics VL - 3 SP - 877 EP - 898 PY - 2018 DA - 2018/03 SN - 23 DO - http://doi.org/10.4208/cicp.OA-2017-0141 UR - https://global-sci.org/intro/article_detail/cicp/10552.html KW - 3D nonrigid image registration, dynamic scheme, truncated hierarchical B-spline, adaptive refinement, topology change. AB -

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.

Aishwarya Pawar, Yongjie Jessica Zhang, Cosmin Anitescu, Yue Jia and Timon Rabczuk. (2018). DTHB3D_Reg: Dynamic Truncated Hierarchical B-Spline Based 3D Nonrigid Image Registration. Communications in Computational Physics. 23 (3). 877-898. doi:10.4208/cicp.OA-2017-0141
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