A projection-domain iterative algorithm for metal artifact reduction by minimizing the total-variation norm and the negative-pixel energy

Visual Computing for Industry, Biomedicine, and Art

Gengsheng L. Zeng¹ 

[1] Department of Computer Science, Utah Valley University;

关键词: Analytical image reconstruction;    Metal artifact reduction;    Projection-domain iterative algorithm;    X-ray computed tomography;   

DOI  :  10.1186/s42492-021-00094-w

来源: DOAJ

【 摘 要 】

Abstract Metal objects in X-ray computed tomography can cause severe artifacts. The state-of-the-art metal artifact reduction methods are in the sinogram inpainting category and are iterative methods. This paper proposes a projection-domain algorithm to reduce the metal artifacts. In this algorithm, the unknowns are the metal-affected projections, while the objective function is set up in the image domain. The data fidelity term is not utilized in the objective function. The objective function of the proposed algorithm consists of two terms: the total variation of the metal-removed image and the energy of the negative-valued pixels in the image. After the metal-affected projections are modified, the final image is reconstructed via the filtered backprojection algorithm. The feasibility of the proposed algorithm has been verified by real experimental data.

【 授权许可】

Unknown