xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
Ministerio de Economía y Competitividad (España) Ministerio de Educación, Cultura y Deporte (España)
Sponsor:
This work was funded by the projects TEC2013-47270-R, RTC-2014-3028-1, TIN2016-79637-P, DPI2016-79075-R, and the Cardiovascular Research Network (RIC, RD12/0042/0057) from the Spanish Ministerio de Economía y Competitividad (www.mineco.gob.es/) and, FPU14/03875 grant from the Spanish Ministerio de Educación, Cultura y Deporte (http://www.mecd.gob.es). We also thank NVidia for providing the Tesla K40 device used to perform the experiments.
Project:
Gobierno de España. TEC2013-47270-R Gobierno de España. RTC-2014-3028-1 Gobierno de España. TIN2016-79637-P Gobierno de España. DPI2016-79075-R Gobierno de España. RD12/0042/0057 Gobierno de España. FPU14/03875
The availability of digital X-ray detectors, together with advances in reconstruction algorithms, creates an opportunity for bringing 3D capabilities to conventional radiology systems. The downside is that reconstruction algorithms for non-standard acquisitionThe availability of digital X-ray detectors, together with advances in reconstruction algorithms, creates an opportunity for bringing 3D capabilities to conventional radiology systems. The downside is that reconstruction algorithms for non-standard acquisition protocols are generally based on iterative approaches that involve a high computational burden. The development of new flexible X-ray systems could benefit from computer simulations, which may enable performance to be checked before expensive real systems are implemented. The development of simulation/reconstruction algorithms in this context poses three main difficulties. First, the algorithms deal with large data volumes and are computationally expensive, thus leading to the need for hardware and software optimizations. Second, these optimizations are limited by the high flexibility required to explore new scanning geometries, including fully configurable positioning of source and detector elements.[+][-]