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Noise Characteristics of the FORE+OSEM(DB) Reconstruction Method for the MiCES PET Scanner
dc.contributor.authorLee, Kisungen_US
dc.contributor.authorKinahan, Paul E.en_US
dc.contributor.authorMiyaoka, Robert S.en_US
dc.contributor.authorFessler, Jeffrey A.en_US
dc.contributor.authorLewellen, Tom K.en_US
dc.date.accessioned2011-08-18T18:20:51Z
dc.date.available2011-08-18T18:20:51Z
dc.date.issued2004-10-16en_US
dc.identifier.citationLee, K.; Kinahan, P.E.; Miyaoka, R.S.; Fessler, J.A.; Lewellen, T.K. (2004). "Noise Characteristics of the FORE+OSEM(DB) Reconstruction Method for the MiCES PET Scanner." IEEE Nuclear Science Symposium Conference Record 4: 2642-2646. <http://hdl.handle.net/2027.42/85836>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/85836
dc.description.abstractThe FORE+OSEM(DB) image reconstruction method has been proposed for the fully-3D MiCES PET scanner under construction at the University of Washington. It is based on Fourier rebinning followed by 2D OSEM and an incorporated model of detector blurring (DB). As an extension, this paper presents the noise/resolution characteristics of this method. Multiple realizations were simulated to estimate the noise properties of the algorithm. The results are compared with OSEM followed by post reconstruction 3D Gaussian smoothing. The results show that the incorporation of detector blurring (OSEM(DB)) into the system matrix improves resolution compared to OSEM, while also inducing an increased variance at all radial locations. In addition, radially-varying noise characteristics are more apparent with OSEM(DB) than with OSEM.en_US
dc.publisherIEEEen_US
dc.titleNoise Characteristics of the FORE+OSEM(DB) Reconstruction Method for the MiCES PET Scanneren_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelBiomedical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/85836/1/Fessler204.pdf
dc.identifier.doi10.1109/NSSMIC.2004.1462794en_US
dc.identifier.sourceIEEE Nuclear Science Symposium Conference Recorden_US
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


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