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List Mode EM Reconstruction of Compton Scatter Camera Images in 3-D

dc.contributor.authorWilderman, Scott J.en_US
dc.contributor.authorClinthorne, Neal H.en_US
dc.contributor.authorFessler, Jeffrey A.en_US
dc.contributor.authorHua, C. -h.en_US
dc.contributor.authorRogers, W. Leslieen_US
dc.date.accessioned2011-08-18T18:20:46Z
dc.date.available2011-08-18T18:20:46Z
dc.date.issued2000-10-15en_US
dc.identifier.citationWilderman, S.J.; Clinthorne, N.H.; Fessler, J.A.; Hua, C.-h.; Rogers, W.L. (2000). "List Mode EM Reconstruction of Compton Scatter Camera Images in 3-D." IEEE Conference Record of Nuclear Science Symposium 2: 15/292-15/295. <http://hdl.handle.net/2027.42/85814>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/85814
dc.description.abstractA method has been developed for List Mode EM reconstruction of Compton scattering camera images in 3D, using a previously reported 2-D technique and refining and adapting it to three dimensions. Spatial variation in the system sensitivity is determined by an approximate numerical integration which accounts for solid angle effects, absorption and escape probabilities, and variation in the differential angular scattering cross section. The method for computing the system transition probabilities uses a similar method to determine values in pixels along exact back-projected cones for each detected event, and uses pre-computed values of the inherent system resolution (which includes the effects of spatial and energy measurement resolution and Doppler broadening) to model the response in pixels neighboring the back-projected cone. The algorithm has been parallelized, permitting reconstruction of images using larger number of detected events in relatively constant time by adding additional processors. Results are presented using 3-D simulated data.en_US
dc.publisherIEEEen_US
dc.titleList Mode EM Reconstruction of Compton Scatter Camera Images in 3-Den_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelBiomedical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Nuclear Engineering and Radiologic Sciences. Division of Nuclear Medicine. Department of Biomedical Engineerinen_US
dc.identifier.pmid11204845en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/85814/1/Fessler162.pdf
dc.identifier.doi10.1109/NSSMIC.2000.950123en_US
dc.identifier.sourceIEEE Conference Record of Nuclear Science Symposiumen_US
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


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