title: [ART reconstruction from few views using bilateral-filtering iterative method].
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.
authors.affiliation: School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
authors.forename: Hongliang
authors.initials: H
authors.lastname: Qi
authors.forename: Linghong
authors.initials: L
authors.lastname: Zhou
authors.forename: Yuan
authors.initials: Y
authors.lastname: Xu
authors.forename: Hong
authors.initials: H
authors.lastname: Hong
authors.forename: Wenting
authors.initials: W
authors.lastname: Lu
authors.forename: Xin
authors.initials: X
authors.lastname: Zhen
mesh_terms: D000465:Algorithms; D016477:Artifacts; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000379:methods*