TomoBank: a tomographic data repository for computational x-ray science. (8th February 2018)

• Record Type: Journal Article
• Authors: De Carlo, Francesco; Gürsoy, Doğa; Ching, Daniel J; Batenburg, K Joost; Ludwig, Wolfgang; Mancini, Lucia; Marone, Federica; Mokso, Rajmund; Pelt, Daniël M; Sijbers, Jan; Rivers, Mark
• Is Part Of: Measurement science & technology. Volume 29:Number 3(2018:Mar.)
• Publication Date: 2018-02-08
• Subjects: tomography -- tomographic data archive -- tomographic data analysis -- x-ray tomography; Physical measurements -- Periodicals; Scientific apparatus and instruments -- Periodicals; Equipment and Supplies -- Periodicals; Science -- instrumentation -- Periodicals; Technology -- instrumentation -- Periodicals; Mesures physiques -- Périodiques; Physical measurements; Scientific apparatus and instruments; Periodicals; 502.87
• DOI: 10.1088/1361-6501/aa9c19
• Languages: English
• ISSNs: 0957-0233

Abstract

Abstract: There is a widening gap between the fast advancement of computational methods for tomographic reconstruction and their successful implementation in production software at various synchrotron facilities. This is due in part to the lack of readily available instrument datasets and phantoms representative of real materials for validation and comparison of new numerical methods. Recent advancements in detector technology have made sub-second and multi-energy tomographic data collection possible (Gibbs et al 2015 Sci. Rep .5 11824), but have also increased the demand to develop new reconstruction methods able to handle in situ (Pelt and Batenburg 2013 IEEE Trans. Image Process .22 5238–51) and dynamic systems (Mohan et al 2015 IEEE Trans. Comput. Imaging 1 96–111) that can be quickly incorporated in beamline production software (Gürsoy et al 2014 J. Synchrotron Radiat .21 1188–93). The x-ray tomography data bank, tomoBank, provides a repository of experimental and simulated datasets with the aim to foster collaboration among computational scientists, beamline scientists, and experimentalists and to accelerate the development and implementation of tomographic reconstruction methods for synchrotron facility production software by providing easy access to challenging datasets and their descriptors.