@article{Gao2025, 
author = {Huan Gao and Zhibao Li and Shang Wang and Haibin Zhang},
title = {An Adaptive Primal-Dual Method for CT Image Reconstruction},
year = {2025},
journal = {Tsinghua Science and Technology},
keywords = {adaptive stepsize, Computed Tomography (CT) image reconstruction, Total Variation (TV), primal-dual algorithm},
url = {https://www.sciopen.com/article/10.26599/TST.2024.9010222},
doi = {10.26599/TST.2024.9010222},
abstract = {This paper examines the challenge of Computed Tomography (CT) image reconstruction problem from incomplete projection data. Based on the underdetermined system of equations, we incorporate a Total Variation (TV) regularization term and data fidelity term to formulate a TV-CT model for image reconstruction. We present a comprehensive derivation of the primal-dual method to solve the corresponding saddle point problem, as well as the primal-dual algorithms. Particularly, we introduce adaptive stepsize strategies for the proposed primal-dual algorithm to enhance the reconstruction performance. Finally, numerical experiments are conducted to verify the proposed method, including comparisons with state-of-the-art methods.}
}