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ART reconstruction from few views using bilateral-filtering iterative method / 生物医学工程学杂志
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-234675
Responsible library: WPRO
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.
Subject(s)
Full text: Available Database: WPRIM (Western Pacific) Main subject: Algorithms / Image Processing, Computer-Assisted / Radiographic Image Interpretation, Computer-Assisted / Tomography, X-Ray Computed / Artifacts / Methods Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2013 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Main subject: Algorithms / Image Processing, Computer-Assisted / Radiographic Image Interpretation, Computer-Assisted / Tomography, X-Ray Computed / Artifacts / Methods Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2013 Document type: Article
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