Fourier-Based Forward and Back-Projectors in Iterative Fan-Beam Tomographic Image Reconstruction
dc.contributor.author | Zhang-O'Connor, Y. | en_US |
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.date.accessioned | 2011-08-18T18:21:22Z | |
dc.date.available | 2011-08-18T18:21:22Z | |
dc.date.issued | 2006-05-01 | en_US |
dc.identifier.citation | Zhang-O'Connor, Y.; Fessler, J.A. (2006). "Fourier-Based Forward and Back-Projectors in Iterative Fan-Beam Tomographic Image Reconstruction." IEEE Transactions on Medical Imaging 25(5): 582-589. <http://hdl.handle.net/2027.42/86013> | en_US |
dc.identifier.issn | 0278-0062 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/86013 | |
dc.description.abstract | Fourier-based forward and back-projection methods can reduce computation in iterative tomographic image reconstruction. Recently, an optimized nonuniform fast Fourier transform (NUFFT) approach was shown to yield accurate parallel-beam projections. In this paper, we extend the NUFFT approach to describe an O(N2 log N) projector/backprojector pair for fan-beam transmission tomography. Simulations and experiments with real CT data show that fan-beam Fourier-based forward and back-projection methods can reduce computation for iterative reconstruction while still providing accuracy comparable to their O(N3) space-based counterparts. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Fourier-Based Forward and Back-Projectors in Iterative Fan-Beam Tomographic Image Reconstruction | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Biomedical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science. | en_US |
dc.identifier.pmid | 16689262 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/86013/1/Fessler45.pdf | |
dc.identifier.doi | 10.1109/TMI.2006.872139 | en_US |
dc.identifier.source | IEEE Transactions on Medical Imaging | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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