Show simple item record

dc.contributorVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciencesen_US
dc.contributor.authorWang, Geen_US
dc.date.accessioned2015-10-06T15:29:58Z
dc.date.available2015-10-06T15:29:58Z
dc.date.issued2008-06-12
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.pdf
dc.identifier.urihttp://hdl.handle.net/10919/56712
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.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_US
dc.subjectCT scanningen_US
dc.subjectAlgorithmsen_US
dc.subjectReconstruction speedsen_US
dc.titleFast CT Reconstruction - Practical Performance via Parallelizationen_US
dc.typePosteren_US
dc.identifier.urlhttp://www.imaging.sbes.vt.edu/posters/Fast%20CT%20Reconstruction.pdf
dc.date.accessed2014-11-26
dc.type.dcmitypeTexten_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record