Incorporating MRI Region Information into SPECT Reconstruction Using Joint Estimation
dc.contributor.author | Zhang, Yong | en_US |
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 | 2011-08-18T18:21:24Z | |
dc.date.available | 2011-08-18T18:21:24Z | |
dc.date.issued | 1995-05-09 | en_US |
dc.identifier.citation | Zhang, Yong; Fessler, J.A.; Clinthorne, N.H.; Rogers, W.L. (1995). "Incorporating MRI Region Information into SPECT Reconstruction Using Joint Estimation." International Conference on Acoustics, Speech, and Signal Processing 4: 2307-2310. <http://hdl.handle.net/2027.42/86029> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/86029 | |
dc.description.abstract | Single photon emission computed tomographic images (SPECT) have relatively poor resolution. In an attempt to improve SPECT image quality, many methods have been developed for including anatomic information, extracted from higher resolution, structurally correlated magnetic resonance images (MRI), into the SPECT reconstruction process. These methods provide improved SPECT reconstruction accuracy if the anatomic information is perfectly correlated with the SPECT functional information. However there exist mismatches between MRI anatomical structures and SPECT functional structures due to different imaging mechanisms. It has been reported that if the MR structures are applied into SPECT, the mismatched part will cause artifacts. The paper describes a joint estimation approach which unifies MR information extraction and SPECT reconstruction processes to avoid these artifacts. Both qualitative and quantitative evaluations show that the method improves the SPECT reconstruction where the MR information matches and is robust to mismatched MR information. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Incorporating MRI Region Information into SPECT Reconstruction Using Joint Estimation | 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/2027.42/86029/1/Fessler134.pdf | |
dc.identifier.doi | 10.1109/ICASSP.1995.479953 | en_US |
dc.identifier.source | International Conference on Acoustics, Speech, and Signal Processing | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
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