Title :
The CT Image Reconstruction Algorithm Based on the Least Absolute Criterion by Alternating Direction Iterative
Author :
Wenzhang He ; Hongjian Xu ; Zhengyang Guo ; Jie Liang ; Lina Wang
Author_Institution :
Tianjin Univ. of Technol. & Educ., Tianjin, China
Abstract :
Based on the least absolute criteria, the image reconstruction problem is transformed into an optimization one by constructing the objective function for optimization. The optimization problem is transformed into the separable optimization problem to be solved by using the alternating direction method. At the same time, a new CT image reconstruction algorithm is got by combining with ART algorithm. Experimental results show that the algorithm is better than ART algorithm in obviously improving reconstruction quality, and as a result, the image signal to noise ratio has increased significantly.
Keywords :
computerised tomography; image reconstruction; iterative methods; optimisation; ART algorithm; CT image reconstruction algorithm; alternating direction iterative; computed tomography; image signal-to-noise ratio; least absolute criterion; objective function; optimization problem; reconstruction quality improvement; Computed tomography; Data models; Image reconstruction; Linear programming; Noise; Optimization; Subspace constraints; ART; alternating direction method; image reconstruction; the least absolute criteria;
Conference_Titel :
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4799-7433-7
DOI :
10.1109/CIS.2014.75