ART reconstruction from few views using bilateral-filtering iterative method.
- Author:
Hongliang QI
1
;
Linghong ZHOU
;
Yuan XU
;
Hong HONG
;
Wenting LU
;
Xin ZHEN
Author Information
1. School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Humans;
Image Processing, Computer-Assisted;
methods;
Radiographic Image Interpretation, Computer-Assisted;
methods;
Tomography, X-Ray Computed;
methods
- From:
Journal of Biomedical Engineering
2013;30(2):217-222
- CountryChina
- Language:Chinese
-
Abstract:
An algebraic image reconstruction from few views using bilateral-filtering iterative method was proposed due to the problem of computed tomography insufficient data in the present study. In each iteration reconstruction, we first used algebraic reconstruction technique (ART) algorithm to reconstruct an image, ensuring the non-negativity of the reconstructed image at the same time, and then performed bilateral-filtering to the above-mentioned image. In order to improve reconstructed image quality and accelerate the convergence speed, we developed a modified bilateral-filtering method. Shepp-Logan simulation experiments and real CT projection data reconstructions showed the feasibility of the algorithm. The results showed that, compared with the traditional methods of filtered back projection (FBP), ART and GF-ART,the proposed method has a higher signal-to-noise ratio, and maintains more effectively the image edge information.
