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Li, H. and Song, Y. (2024) Sparse-View X-Ray CT Based on a Box-Constrained Nonlinear Weighted Anisotropic TV Regularization. Mathematical Biosciences and Engineering, 21, 5047-5067.
https://doi.org/10.3934/mbe.2024223

has been cited by the following article:

• TITLE: Box-Constrained Nonlinear Weighted Anisotropic TV Regularization for Beam Hardening Artifacts Reduction in CT

  AUTHORS: Xue Shi

  KEYWORDS: Beam Hardening Artifacts, Box-Constrained NWATV, Computed Tomography

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.13 No.2, February 13, 2025

  ABSTRACT: In Computed Tomography (CT), the beam hardening artifacts are caused by polychromatic X-ray beams applied in real medical imaging. In this article, we applied the recently proposed box-constrained nonlinear weighted anisotropic total variation regularization (box-constrained NWATV) method in the process of the reconstruction. We do numerical experiments to validate the advantages of the proposed method in reducing the beam hardening artifacts compared with the existing ways.