Regularized Emission Image Reconstruction Using Imperfect Side Information
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.contributor.author | Clinthorne, Neal H. | en_US |
dc.contributor.author | Rogers, W. Leslie | en_US |
dc.date.accessioned | 2011-08-18T18:20:57Z | |
dc.date.available | 2011-08-18T18:20:57Z | |
dc.date.issued | 1992-10 | en_US |
dc.identifier.citation | Fessler, J.A.; Clinthorne, N.H.; Rogers, W.L. (1992). "Regularized Emission Image Reconstruction Using Imperfect Side Information." IEEE Transactions on Nuclear Science 39(5): 1464-1471. <http://hdl.handle.net/2027.42/85869> | en_US |
dc.identifier.issn | 0018-9499 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85869 | |
dc.description.abstract | A spatially variant penalized-likelihood method for tomographic image reconstruction based on a weighted Gibbs penalty was investigated. The penalty weights are determined from structural side information, such as the locations of anatomical boundaries in high-resolution magnetic resonance images. Such side information will be imperfect in practice, and a simple simulation demonstrated the importance of accounting for the errors in boundary locations. Methods are discussed for prescribing the penalty weights when the side information is noisy. Simulation results suggest that even imperfect side information is useful for guiding spatially variant regularization. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Regularized Emission Image Reconstruction Using Imperfect Side Information | 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 | Division of Nuclear Medicine | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85869/1/Fessler110.pdf | |
dc.identifier.doi | 10.1109/23.173225 | en_US |
dc.identifier.source | IEEE Transactions on Nuclear Science | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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