Journal of System Simulation
Abstract
Abstract: In order to improve the accuracy and speed of registration between two groups of 4D-CT images under different physiological activities, based on FFD model of multi-resolution B-spline, a registration algorithm using ICP to optimize the model is proposed. The ICP algorithm is added before the traditional b-spline to realize the point cloud registration between two groups of 4D-CT images: the appropriate model is generated from the two segmented groups of 4D-CT images, then the two groups of point clouds in the model are registered with ICP. The improvement rates of similarity measurement at level 1, level 2 and level 3 are 8.68%, 10.46% and 2.39% respectively, and the speed improvement rates are -51.89%, 41.71%, 81.09% respectively.
Recommended Citation
Tang, Wenjie; Li, Ruotong; Deng, Xuesong; Si, Weixin; and Qiong, Wang
(2020)
"ICP Optimized B-Spline Non-Rigid Registration for 4D-CT Images,"
Journal of System Simulation: Vol. 32:
Iss.
7, Article 11.
DOI: 10.16182/j.issn1004731x.joss.19-VR0436
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss7/11
First Page
1301
Revised Date
2019-11-07
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-VR0436
Last Page
1311
CLC
TP391.41
Recommended Citation
Tang Wenjie, Li Ruotong, Deng Xuesong, Si Weixin, Wang Qiong. ICP Optimized B-Spline Non-Rigid Registration for 4D-CT Images[J]. Journal of System Simulation, 2020, 32(7): 1301-1311.
DOI
10.16182/j.issn1004731x.joss.19-VR0436
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons