Matches in SemOpenAlex for { <https://semopenalex.org/work/W2421346095> ?p ?o ?g. }
- W2421346095 endingPage "6921" @default.
- W2421346095 startingPage "6901" @default.
- W2421346095 abstract "Reducing the radiation in computerized tomography is today a major concern in radiology. Low dose computerized tomography (LDCT) offers a sound way to deal with this problem. However, more severe noise in the reconstructed CT images is observed under low dose scan protocols (e.g. lowered tube current or voltage values). In this paper we propose a Gamma regularization based algorithm for LDCT image reconstruction. This solution is flexible and provides a good balance between the regularizations based on l0-norm and l1-norm. We evaluate the proposed approach using the projection data from simulated phantoms and scanned Catphan phantoms. Qualitative and quantitative results show that the Gamma regularization based reconstruction can perform better in both edge-preserving and noise suppression when compared with other norms." @default.
- W2421346095 created "2016-06-24" @default.
- W2421346095 creator A5006250732 @default.
- W2421346095 creator A5011471097 @default.
- W2421346095 creator A5017842484 @default.
- W2421346095 creator A5034008514 @default.
- W2421346095 creator A5036093909 @default.
- W2421346095 creator A5042978732 @default.
- W2421346095 creator A5052775662 @default.
- W2421346095 creator A5067937579 @default.
- W2421346095 date "2015-08-25" @default.
- W2421346095 modified "2023-09-26" @default.
- W2421346095 title "Gamma regularization based reconstruction for low dose CT" @default.
- W2421346095 cites W1966364402 @default.
- W2421346095 cites W1966920060 @default.
- W2421346095 cites W1969811075 @default.
- W2421346095 cites W1980932853 @default.
- W2421346095 cites W1981624870 @default.
- W2421346095 cites W1985710418 @default.
- W2421346095 cites W2012231377 @default.
- W2421346095 cites W2016309987 @default.
- W2421346095 cites W2019816115 @default.
- W2421346095 cites W2026366708 @default.
- W2421346095 cites W2027606067 @default.
- W2421346095 cites W2034974381 @default.
- W2421346095 cites W2049856752 @default.
- W2421346095 cites W2054393756 @default.
- W2421346095 cites W2055483062 @default.
- W2421346095 cites W2058808032 @default.
- W2421346095 cites W2068454934 @default.
- W2421346095 cites W2071182070 @default.
- W2421346095 cites W2094366314 @default.
- W2421346095 cites W2098092211 @default.
- W2421346095 cites W2101675075 @default.
- W2421346095 cites W2103559027 @default.
- W2421346095 cites W2107603166 @default.
- W2421346095 cites W2110496314 @default.
- W2421346095 cites W2132660956 @default.
- W2421346095 cites W2133665775 @default.
- W2421346095 cites W2136885855 @default.
- W2421346095 cites W2138025351 @default.
- W2421346095 cites W2142224912 @default.
- W2421346095 cites W2142743510 @default.
- W2421346095 cites W2142884793 @default.
- W2421346095 cites W2145096794 @default.
- W2421346095 cites W2164452299 @default.
- W2421346095 cites W2171697262 @default.
- W2421346095 cites W4250589301 @default.
- W2421346095 cites W4250955649 @default.
- W2421346095 cites W4296142362 @default.
- W2421346095 doi "https://doi.org/10.1088/0031-9155/60/17/6901" @default.
- W2421346095 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26305538" @default.
- W2421346095 hasPublicationYear "2015" @default.
- W2421346095 type Work @default.
- W2421346095 sameAs 2421346095 @default.
- W2421346095 citedByCount "11" @default.
- W2421346095 countsByYear W24213460952016 @default.
- W2421346095 countsByYear W24213460952017 @default.
- W2421346095 countsByYear W24213460952018 @default.
- W2421346095 countsByYear W24213460952019 @default.
- W2421346095 countsByYear W24213460952020 @default.
- W2421346095 countsByYear W24213460952021 @default.
- W2421346095 crossrefType "journal-article" @default.
- W2421346095 hasAuthorship W2421346095A5006250732 @default.
- W2421346095 hasAuthorship W2421346095A5011471097 @default.
- W2421346095 hasAuthorship W2421346095A5017842484 @default.
- W2421346095 hasAuthorship W2421346095A5034008514 @default.
- W2421346095 hasAuthorship W2421346095A5036093909 @default.
- W2421346095 hasAuthorship W2421346095A5042978732 @default.
- W2421346095 hasAuthorship W2421346095A5052775662 @default.
- W2421346095 hasAuthorship W2421346095A5067937579 @default.
- W2421346095 hasBestOaLocation W24213460952 @default.
- W2421346095 hasConcept C11413529 @default.
- W2421346095 hasConcept C126838900 @default.
- W2421346095 hasConcept C141379421 @default.
- W2421346095 hasConcept C154945302 @default.
- W2421346095 hasConcept C163716698 @default.
- W2421346095 hasConcept C2776135515 @default.
- W2421346095 hasConcept C2987700449 @default.
- W2421346095 hasConcept C2989005 @default.
- W2421346095 hasConcept C31972630 @default.
- W2421346095 hasConcept C41008148 @default.
- W2421346095 hasConcept C71924100 @default.
- W2421346095 hasConceptScore W2421346095C11413529 @default.
- W2421346095 hasConceptScore W2421346095C126838900 @default.
- W2421346095 hasConceptScore W2421346095C141379421 @default.
- W2421346095 hasConceptScore W2421346095C154945302 @default.
- W2421346095 hasConceptScore W2421346095C163716698 @default.
- W2421346095 hasConceptScore W2421346095C2776135515 @default.
- W2421346095 hasConceptScore W2421346095C2987700449 @default.
- W2421346095 hasConceptScore W2421346095C2989005 @default.
- W2421346095 hasConceptScore W2421346095C31972630 @default.
- W2421346095 hasConceptScore W2421346095C41008148 @default.
- W2421346095 hasConceptScore W2421346095C71924100 @default.
- W2421346095 hasIssue "17" @default.
- W2421346095 hasLocation W24213460951 @default.
- W2421346095 hasLocation W24213460952 @default.
- W2421346095 hasLocation W24213460953 @default.