@Article{CiCP-23-3,
author = {},
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 = {<p style="text-align: justify;">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.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.OA-2017-0141},
url = {https://global-sci.com/article/80034/dthb3d-reg-dynamic-truncated-hierarchical-b-spline-based-3d-nonrigid-image-registration}
}