Segmentation-Free Statistical Image Reconstruction for Polyenergetic X-Ray Computed Tomography
dc.contributor.author | Elbakri, Idris A. | en_US |
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.date.accessioned | 2011-08-18T18:20:59Z | |
dc.date.available | 2011-08-18T18:20:59Z | |
dc.date.issued | 2002-11-07 | en_US |
dc.identifier.citation | Elbakri, I. A.; Fessler, J. A. (2002). "Segmentation-Free Statistical Image Reconstruction for Polyenergetic X-Ray Computed Tomography." International Symposium on Biomedical Imaging: 828-831. <http://hdl.handle.net/2027.42/85881> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85881 | |
dc.description.abstract | This paper describes a statistical iterative reconstruction method for X-ray CT based on a physical model that accounts for the polyenergetic X-ray source spectrum and the measurement nonlinearities caused by energy-dependent attenuation. The algorithm accommodates mixtures of tissues with known mass attenuation coefficients but unknown densities. We formulate a penalized-likelihood approach for this polyenergetic model based on Poisson statistics. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Segmentation-Free Statistical Image Reconstruction for Polyenergetic X-Ray Computed Tomography | 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 | Electrical Engineering and Computer Science Department. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85881/1/Fessler173.pdf | |
dc.identifier.doi | 10.1109/ISBI.2002.1029387 | en_US |
dc.identifier.source | International Symposium on Biomedical Imaging | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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