| Literature DB >> 28244451 |
Daniel J Ching1, Dogˇa Gürsoy2.
Abstract
The development of new methods or utilization of current X-ray computed tomography methods is impeded by the substantial amount of expertise required to design an X-ray computed tomography experiment from beginning to end. In an attempt to make material models, data acquisition schemes and reconstruction algorithms more accessible to researchers lacking expertise in some of these areas, a software package is described here which can generate complex simulated phantoms and quantitatively evaluate new or existing data acquisition schemes and image reconstruction algorithms for targeted applications.Keywords: Python; data acquisition; experiment design; open-source; phantom; quality; reconstruction; scanning X-ray probe; simulation; tomography
Year: 2017 PMID: 28244451 DOI: 10.1107/S1600577517001928
Source DB: PubMed Journal: J Synchrotron Radiat ISSN: 0909-0495 Impact factor: 2.616