Open AccessAn Accelerated Convergence Algorithm for Sparse-View CT Image Reconstruction
Author(s) -
Zhao Wang,
Zhiguo Liu,
Shuang Zhang,
Kai Pan,
Peng Zhou,
Xin Wang,
Haoran Wang,
Tao Sun
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/4/042031
Subject(s) - acceleration , convergence (economics) , rate of convergence , computer science , compressed sensing , iterative reconstruction , algorithm , iterative method , image (mathematics) , mathematical optimization , computer vision , mathematics , telecommunications , channel (broadcasting) , physics , classical mechanics , economics , economic growth
In order to reduce radiation dose during CT scanning, sparse sampling is an effective way. Although the TV-based iterative reconstruction algorithm is a breakthrough to solve the problem of sparse-view CT image reconstruction, its applicability is still limited by huge computational burden. It is necessary to study the acceleration method of TV-based iterative algorithm. This paper show that the FISTA acceleration method is not suitable for POCS-TV algorithm, meanwhile, an improved acceleration method, IFISTA, is proposed to accelerate the convergence rate of POCS-TV. Numerical experiments show that the convergence rate of POCS-TV-IFISTA is about 35% faster than POCS-TV.