Title :
TV OS-SART with Fractional Order Integral Filtering
Author :
Ji Dong-Jiang ; He Wen-Zhang ; Zou Xiao-Bing
Author_Institution :
Sch. of Sci., Tianjin Univ. of Technol. & Educ., Tianjin, China
Abstract :
Computed tomography (CT) is widely used in industrial nondestructive testing (NDT). The projection data of CT usually contain serious noises. In this situation, compared with conventional filtered back projection (FBP), total variation ordered subsets simultaneous algebraic reconstruction technique (TV-OS-SART) is a better reconstruction method. However, image noise will increase after some iterations while the image quality does not meet the requirement. In order to improve the quality of reconstructed image, for three dimensional cone-beam CT, a total variation ordered subsets simultaneous iterative reconstruction algorithm with fractional order integral is researched. Experimental results show that the proposed method has faster convergence speed.
Keywords :
algebra; computerised tomography; image denoising; image reconstruction; integral equations; iterative methods; nondestructive testing; CT projection data; FBP; NDT; TV OS-SART; computed tomography; convergence speed; filtered back projection; fractional order integral denoising technology; fractional order integral filtering; image noise; image quality; industrial nondestructive testing; reconstruction method; three dimensional cone-beam CT; total variation ordered subsets simultaneous algebraic reconstruction technique; total variation ordered subsets simultaneous iterative reconstruction algorithm; Cone-beam CT; fractional order integral; noise projection data; total variation ordered subsets simultaneous algebraic reconstruction technique;
Conference_Titel :
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-4725-9
DOI :
10.1109/CIS.2012.37
