Fast CT Reconstruction - Practical Performance via Parallelization
dc.contributor | Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences | en |
dc.contributor.author | Wang, Ge | en |
dc.contributor.department | School of Biomedical Engineering and Sciences | en |
dc.date.accessed | 2014-11-26 | en |
dc.date.accessioned | 2015-10-06T15:29:58Z | en |
dc.date.available | 2015-10-06T15:29:58Z | en |
dc.date.issued | 2008-06-12 | en |
dc.description.abstract | Parallel computing has been used to solve large-scale problems in many fields. While CT is being developed towards high-resolution, volumetric, dynamic and spectral imaging, datasets become increasingly large, and reconstruction speeds are often too slow. To meet this challenge, in 2004 Drs. Wang and Ni co-found a High performance Computing Lab, and have been working in this area ever since. In 2006, we designed and implemented the first parallel Katsevich algorithm. We have also parallelized EM, OS-EM, SART and OS-SART algorithms, respectively. | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Wang, G. (2008). Fast CT Reconstruction - Practical Performance Via Parallelization. Poster. Retrieved from http://www.imaging.sbes.vt.edu/posters/Fast%20CT%20Reconstruction.pdf | en |
dc.identifier.uri | http://hdl.handle.net/10919/56712 | en |
dc.identifier.url | http://www.imaging.sbes.vt.edu/posters/Fast%20CT%20Reconstruction.pdf | en |
dc.language.iso | en_US | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | CT scanning | en |
dc.subject | Algorithms | en |
dc.subject | Reconstruction speeds | en |
dc.title | Fast CT Reconstruction - Practical Performance via Parallelization | en |
dc.type | Poster | en |
dc.type.dcmitype | Text | en |
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