Matches in SemOpenAlex for { <https://semopenalex.org/work/W2101472916> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2101472916 endingPage "2024" @default.
- W2101472916 startingPage "2018" @default.
- W2101472916 abstract "For SPECT reconstruction, iterative Maximum Likelihood Expectation Maximization (ML-EM) estimation has a huge computational burden. The objective of this paper is to compare images obtained by ML-EM and an EM algorithm acting on Ordered Subsets of projections (OS-EM). Two digital phantoms, a cylinder with two cold spots and an ellipsoid with several hot spots and one cold spot were reconstructed from 120 simulated noisy projections. 1D (/spl delta/-like point source response), 2D (single slice response) and fully 3D reconstruction were investigated. Three quantities were calculated for the evaluation, viz. contrast, normalized standard deviation and mean squared error. In the case of fully 3D reconstruction, OS-EM 60 reconstructions (i.e., using 60 ordered subsets) were very close to ML-EM reconstructions. This shows that the OS-EM algorithm is an extremely fast and efficient method to accelerate iterative SPECT reconstruction with speed-up factors of close to half the number of projections." @default.
- W2101472916 created "2016-06-24" @default.
- W2101472916 creator A5033933581 @default.
- W2101472916 creator A5057507577 @default.
- W2101472916 creator A5080631800 @default.
- W2101472916 date "1996-06-01" @default.
- W2101472916 modified "2023-09-26" @default.
- W2101472916 title "Evaluation of OS-EM vs. ML-EM for 1D, 2D and fully 3D SPECT reconstruction" @default.
- W2101472916 cites W1966946115 @default.
- W2101472916 cites W1973675464 @default.
- W2101472916 cites W2006313684 @default.
- W2101472916 cites W2042964827 @default.
- W2101472916 cites W2069629287 @default.
- W2101472916 cites W2075109695 @default.
- W2101472916 cites W2085588751 @default.
- W2101472916 cites W2107280430 @default.
- W2101472916 cites W2117746932 @default.
- W2101472916 cites W2154744699 @default.
- W2101472916 cites W2164810688 @default.
- W2101472916 cites W2166365825 @default.
- W2101472916 cites W2169411314 @default.
- W2101472916 doi "https://doi.org/10.1109/23.507262" @default.
- W2101472916 hasPublicationYear "1996" @default.
- W2101472916 type Work @default.
- W2101472916 sameAs 2101472916 @default.
- W2101472916 citedByCount "52" @default.
- W2101472916 countsByYear W21014729162012 @default.
- W2101472916 countsByYear W21014729162013 @default.
- W2101472916 countsByYear W21014729162014 @default.
- W2101472916 countsByYear W21014729162015 @default.
- W2101472916 countsByYear W21014729162016 @default.
- W2101472916 countsByYear W21014729162018 @default.
- W2101472916 countsByYear W21014729162021 @default.
- W2101472916 crossrefType "journal-article" @default.
- W2101472916 hasAuthorship W2101472916A5033933581 @default.
- W2101472916 hasAuthorship W2101472916A5057507577 @default.
- W2101472916 hasAuthorship W2101472916A5080631800 @default.
- W2101472916 hasConcept C105795698 @default.
- W2101472916 hasConcept C11413529 @default.
- W2101472916 hasConcept C120665830 @default.
- W2101472916 hasConcept C121332964 @default.
- W2101472916 hasConcept C1276947 @default.
- W2101472916 hasConcept C141379421 @default.
- W2101472916 hasConcept C154945302 @default.
- W2101472916 hasConcept C159694833 @default.
- W2101472916 hasConcept C182081679 @default.
- W2101472916 hasConcept C22679943 @default.
- W2101472916 hasConcept C2779898584 @default.
- W2101472916 hasConcept C2780441642 @default.
- W2101472916 hasConcept C2989005 @default.
- W2101472916 hasConcept C33923547 @default.
- W2101472916 hasConcept C41008148 @default.
- W2101472916 hasConcept C49781872 @default.
- W2101472916 hasConcept C57489055 @default.
- W2101472916 hasConcept C71924100 @default.
- W2101472916 hasConceptScore W2101472916C105795698 @default.
- W2101472916 hasConceptScore W2101472916C11413529 @default.
- W2101472916 hasConceptScore W2101472916C120665830 @default.
- W2101472916 hasConceptScore W2101472916C121332964 @default.
- W2101472916 hasConceptScore W2101472916C1276947 @default.
- W2101472916 hasConceptScore W2101472916C141379421 @default.
- W2101472916 hasConceptScore W2101472916C154945302 @default.
- W2101472916 hasConceptScore W2101472916C159694833 @default.
- W2101472916 hasConceptScore W2101472916C182081679 @default.
- W2101472916 hasConceptScore W2101472916C22679943 @default.
- W2101472916 hasConceptScore W2101472916C2779898584 @default.
- W2101472916 hasConceptScore W2101472916C2780441642 @default.
- W2101472916 hasConceptScore W2101472916C2989005 @default.
- W2101472916 hasConceptScore W2101472916C33923547 @default.
- W2101472916 hasConceptScore W2101472916C41008148 @default.
- W2101472916 hasConceptScore W2101472916C49781872 @default.
- W2101472916 hasConceptScore W2101472916C57489055 @default.
- W2101472916 hasConceptScore W2101472916C71924100 @default.
- W2101472916 hasIssue "3" @default.
- W2101472916 hasLocation W21014729161 @default.
- W2101472916 hasOpenAccess W2101472916 @default.
- W2101472916 hasPrimaryLocation W21014729161 @default.
- W2101472916 hasRelatedWork W1556040568 @default.
- W2101472916 hasRelatedWork W1964853359 @default.
- W2101472916 hasRelatedWork W2021846689 @default.
- W2101472916 hasRelatedWork W2099104012 @default.
- W2101472916 hasRelatedWork W2101472916 @default.
- W2101472916 hasRelatedWork W2114899076 @default.
- W2101472916 hasRelatedWork W2399968224 @default.
- W2101472916 hasRelatedWork W2486916328 @default.
- W2101472916 hasRelatedWork W2753113106 @default.
- W2101472916 hasRelatedWork W402607699 @default.
- W2101472916 hasVolume "43" @default.
- W2101472916 isParatext "false" @default.
- W2101472916 isRetracted "false" @default.
- W2101472916 magId "2101472916" @default.
- W2101472916 workType "article" @default.