Fast CT Reconstruction - Practical Performance via Parallelization

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dc.contributorVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciencesen
dc.contributor.authorWang, Geen
dc.contributor.departmentSchool of Biomedical Engineering and Sciencesen
dc.date.accessed2014-11-26en
dc.date.accessioned2015-10-06T15:29:58Zen
dc.date.available2015-10-06T15:29:58Zen
dc.date.issued2008-06-12en
dc.description.abstractParallel 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.mimetypeapplication/pdfen
dc.identifier.citationWang, G. (2008). Fast CT Reconstruction - Practical Performance Via Parallelization. Poster. Retrieved from http://www.imaging.sbes.vt.edu/posters/Fast%20CT%20Reconstruction.pdfen
dc.identifier.urihttp://hdl.handle.net/10919/56712en
dc.identifier.urlhttp://www.imaging.sbes.vt.edu/posters/Fast%20CT%20Reconstruction.pdfen
dc.language.isoen_USen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectCT scanningen
dc.subjectAlgorithmsen
dc.subjectReconstruction speedsen
dc.titleFast CT Reconstruction - Practical Performance via Parallelizationen
dc.typePosteren
dc.type.dcmitypeTexten

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