Spatial Resolution Properties of Penalized-Likelihood Image Reconstruction: Space-Invariant Tomographs
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.contributor.author | Rogers, W. Leslie | en_US |
dc.date.accessioned | 2011-08-18T18:21:01Z | |
dc.date.available | 2011-08-18T18:21:01Z | |
dc.date.issued | 1996-09 | en_US |
dc.identifier.citation | Fessler, J.A.; Rogers, W.L. (1996). "Spatial Resolution Properties of Penalized-Likelihood Image Reconstruction: Space-Invariant Tomographs." IEEE Transactions on Image Processing 5(9): 1346-1358. <http://hdl.handle.net/2027.42/85890> | en_US |
dc.identifier.issn | 1057-7149 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85890 | |
dc.description.abstract | This paper examines the spatial resolution properties of penalized-likelihood image reconstruction methods by analyzing the local impulse response. The analysis shows that standard regularization penalties induce space-variant local impulse response functions, even for space-invariant tomographic systems. Paradoxically, for emission image reconstruction, the local resolution is generally poorest in high-count regions. We show that the linearized local impulse response induced by quadratic roughness penalties depends on the object only through its projections. This analysis leads naturally to a modified regularization penalty that yields reconstructed images with nearly uniform resolution. The modified penalty also provides a very practical method for choosing the regularization parameter to obtain a specified resolution in images reconstructed by penalized-likelihood methods. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Spatial Resolution Properties of Penalized-Likelihood Image Reconstruction: Space-Invariant Tomographs | 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 | University of Michigan | en_US |
dc.identifier.pmid | 18285223 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85890/1/Fessler97.pdf | |
dc.identifier.doi | 10.1109/83.535846 | en_US |
dc.identifier.source | IEEE Transactions on Image Processing | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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