Regularization for Uniform Spatial Resolution Properties in Penalized-Likelihood Image Reconstruction
dc.contributor.author | Stayman, J. Webster | en_US |
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.date.accessioned | 2011-08-18T18:20:57Z | |
dc.date.available | 2011-08-18T18:20:57Z | |
dc.date.issued | 2000-06 | en_US |
dc.identifier.citation | Stayman, J.W.; Fessler, J.A. (2000). "Regularization for Uniform Spatial Resolution Properties in Penalized-Likelihood Image Reconstruction." IEEE Transactions on Medical Imaging 19(6): 601-615. <http://hdl.handle.net/2027.42/85867> | en_US |
dc.identifier.issn | 0278-0062 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85867 | |
dc.description.abstract | Traditional space-invariant regularization methods in tomographic image reconstruction using penalized-likelihood estimators produce images with nonuniform spatial resolution properties. The local point spread functions that quantify the smoothing properties of such estimators are space variant, asymmetric, and object-dependent even for space invariant imaging systems. The authors propose a new quadratic regularization scheme for tomographic imaging systems that yields increased spatial uniformity and is motivated by the least-squares fitting of a parameterized local impulse response to a desired global response. The authors have developed computationally efficient methods for PET systems with shift-invariant geometric responses. They demonstrate the increased spatial uniformity of this new method versus conventional quadratic regularization schemes in simulated PET thorax scans. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Regularization for Uniform Spatial Resolution Properties in Penalized-Likelihood 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 | EECS Department. | en_US |
dc.identifier.pmid | 11026463 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85867/1/Fessler79.pdf | |
dc.identifier.doi | 10.1109/42.870666 | 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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