| Literature DB >> 32390648 |
Liu Shi1,2, Baodong Liu1,2, Hengyong Yu3, Cunfeng Wei1,2, Long Wei1,2, Li Zeng4,5, Ge Wang6.
Abstract
Computed tomography (CT) has been widely applied in medical diagnosis, nondestructive evaluation, homeland security, and other science and engineering applications. Image reconstruction is one of the core CT imaging technologies. In this review paper, we systematically reviewed the currently publicly available CT image reconstruction open source toolkits in the aspects of their environments, object models, imaging geometries, and algorithms. In addition to analytic and iterative algorithms, deep learning reconstruction networks and open codes are also reviewed as the third category of reconstruction algorithms. This systematic summary of the publicly available software platforms will help facilitate CT research and development.Keywords: CT; algorithm; analytic; deep learning; image reconstruction; iterative; open source; toolkits
Year: 2020 PMID: 32390648 DOI: 10.3233/XST-200666
Source DB: PubMed Journal: J Xray Sci Technol ISSN: 0895-3996 Impact factor: 1.535