Show simple item record

Joint Maxiniurn Likelihood Estimation of Emission and Attenuation Densities in PET

dc.contributor.authorClinthorne, Neal H.en_US
dc.contributor.authorFessler, Jeffrey A.en_US
dc.contributor.authorHutchins, Gary D.en_US
dc.contributor.authorRogers, W. Leslieen_US
dc.date.accessioned2011-08-18T18:20:46Z
dc.date.available2011-08-18T18:20:46Z
dc.date.issued1991-11-02en_US
dc.identifier.citationClinthorne, N.H.; Fessler, J.A.; Hutchins, G.D.; Rogers, W.L. (1991). "Joint Maxiniurn Likelihood Estimation of Emission and Attenuation Densities in PET." Conference Record of the … IEEE Nuclear Science Symposium and Medical Imaging Conference 3: 1927-1932. <http://hdl.handle.net/2027.42/85813>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/85813
dc.description.abstractAccurate attenuation correction can be performed in PET (positron emission tomography) using transmission scanning to estimate the survival probabilities along each coincidence line. However, since these measurements are typically corrupted by Poisson counting noise, they propagate additional uncertainty into reconstructed images and kinetic parameter estimates. This can be especially true in the thorax where the attenuating medium is heterogeneous and the statistical precision of the transmission scan may be approximately the same as that of the emission data. To account for the Poisson noise in the transmission measurement, the authors have developed a sieve-constrained maximum likelihood algorithm that jointly estimates both the survival probability and the emission intensity. They present some of their initial experiences in using the joint alternate and maximize algorithm with simulated PET data.en_US
dc.publisherIEEEen_US
dc.titleJoint Maxiniurn Likelihood Estimation of Emission and Attenuation Densities in PETen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelBiomedical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDivision of Nuclear Medicine.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/85813/1/Fessler119.pdf
dc.identifier.doi10.1109/NSSMIC.1991.259253en_US
dc.identifier.sourceConference Record of the … IEEE Nuclear Science Symposium and Medical Imaging Conferenceen_US
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.