Hidden-Data Spaces for Maximum-Likelihood PET Reconstruction
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.date.accessioned | 2011-08-18T18:21:23Z | |
dc.date.available | 2011-08-18T18:21:23Z | |
dc.date.issued | 1992-10-25 | en_US |
dc.identifier.citation | Fessler, A. (1992). "Hidden-Data Spaces for Maximum-Likelihood PET Reconstruction." Conference Record of the … IEEE Nuclear Science Symposium and Medical Imaging Conference 2: 898-900. <http://hdl.handle.net/2027.42/86022> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/86022 | |
dc.description.abstract | The author shows that expectation-maximization (EM) algorithms based on smaller complete data spaces will typically converge faster. As an example, he compares the two maximum-likelihood (ML) image reconstruction algorithms of D. G. Politte and D. L. Snyder (1991) which are based on measurement models that account for attenuation and accidental coincidences in positron-emission tomography (PET). | en_US |
dc.publisher | IEEE | en_US |
dc.title | Hidden-Data Spaces for Maximum-Likelihood PET 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.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/86022/1/Fessler120.pdf | |
dc.identifier.doi | 10.1109/NSSMIC.1992.301014 | en_US |
dc.identifier.source | Conference Record of the … IEEE Nuclear Science Symposium and Medical Imaging Conference | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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