FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3039062400> ?p ?o ?g. }

• W3039062400 endingPage "26" @default.
• W3039062400 startingPage "26" @default.
• W3039062400 abstract "Background: To evaluate contrast-to-noise ratio (CNR) measurements in assessing image quality, in the context of the detectability performance of low-contrast detail (LCD), in computed tomography (CT) images, since exposure to elevated ionising-type radiation is considered to present excessive carcinogenic risk, whilst also causing distress in study subjects. Methods: An LCD phantom module (CTP515) was utilised in the study. Three dissimilar contrast items were used to analyse the ramifications of the proportions of an object on the CNR. Three multidetector CT (MDCT) scanners were used, with 16-MDCT, 64-MDCT and 80-MDCT frameworks, respectively. The CT scans were recreated using three dissimilar remaking algorithms—soft, standard and lung. The effects exerted on the CNR by various remodelling algorithms, as well as the contrast of various objects along with the size of the objects, were explored. The Hounsfield units of each chosen object (one unit representing the outer portion of the object) and the background and the standard deviation of the noise parameter were quantified, and algorithms were developed using MATLAB. Results: The CNR information was greatly influenced by changing the image recreation calculations and was very much increased in the soft-tissue recreation images using 16-MDCT and 64-MDCT. The CNR information was also increased more in the optimum recreation images than in the reproduced images from the computational procedure used in the 80-MDCT. The results did not show any remarkable contrasts in the CNR values between the different object sizes. Overall, a higher kVp produced an improved CNR in all the CT scanners. In particular, there were prominent upgrades in the CNR information when the kVp was increased from 80 to 120. Higher mAs levels gave better CNR values overall, especially for greater section thicknesses. Based on the CNR estimations, the 64-MDCT provided the best correlation among the CT scanners. Conclusions: The objective LCD appraisal method, based on CNR measurements, was confirmed as being useful for checking the different impacts of kVp, mAs and section thickness on the nature of the picture. This procedure was similarly viable in assessing the impacts of the different reconstruction calculations and the different differentiation questions on the nature of the image." @default.
• W3039062400 created "2020-07-10" @default.
• W3039062400 creator A5040797548 @default.
• W3039062400 creator A5058567401 @default.
• W3039062400 date "2020-07-06" @default.
• W3039062400 modified "2023-10-17" @default.
• W3039062400 title "The Feasibility of Contrast-to-Noise Ratio on Measurements to Evaluate CT Image Quality in Terms of Low-Contrast Detailed Detectability" @default.
• W3039062400 cites W167022752 @default.
• W3039062400 cites W1966364402 @default.
• W3039062400 cites W1969280163 @default.
• W3039062400 cites W1972373672 @default.
• W3039062400 cites W1985171971 @default.
• W3039062400 cites W1999529880 @default.
• W3039062400 cites W2001992740 @default.
• W3039062400 cites W2015855802 @default.
• W3039062400 cites W2034639952 @default.
• W3039062400 cites W2039920632 @default.
• W3039062400 cites W2054931823 @default.
• W3039062400 cites W2059415484 @default.
• W3039062400 cites W2073546968 @default.
• W3039062400 cites W2099445607 @default.
• W3039062400 cites W2108535204 @default.
• W3039062400 cites W2124822017 @default.
• W3039062400 cites W2131900397 @default.
• W3039062400 cites W2149579722 @default.
• W3039062400 cites W2167403983 @default.
• W3039062400 cites W2170260757 @default.
• W3039062400 cites W2171138576 @default.
• W3039062400 cites W2174045924 @default.
• W3039062400 cites W2524410748 @default.
• W3039062400 cites W2567331605 @default.
• W3039062400 cites W2593796053 @default.
• W3039062400 cites W2746168118 @default.
• W3039062400 cites W2888498051 @default.
• W3039062400 cites W2915934890 @default.
• W3039062400 doi "https://doi.org/10.3390/medsci8030026" @default.
• W3039062400 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7563972" @default.
• W3039062400 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32640553" @default.
• W3039062400 hasPublicationYear "2020" @default.
• W3039062400 type Work @default.
• W3039062400 sameAs 3039062400 @default.
• W3039062400 citedByCount "4" @default.
• W3039062400 countsByYear W30390624002022 @default.
• W3039062400 countsByYear W30390624002023 @default.
• W3039062400 crossrefType "journal-article" @default.
• W3039062400 hasAuthorship W3039062400A5040797548 @default.
• W3039062400 hasAuthorship W3039062400A5058567401 @default.
• W3039062400 hasBestOaLocation W30390624001 @default.
• W3039062400 hasConcept C104293457 @default.
• W3039062400 hasConcept C115961682 @default.
• W3039062400 hasConcept C126838900 @default.
• W3039062400 hasConcept C151730666 @default.
• W3039062400 hasConcept C154945302 @default.
• W3039062400 hasConcept C187954543 @default.
• W3039062400 hasConcept C2776502983 @default.
• W3039062400 hasConcept C2779343474 @default.
• W3039062400 hasConcept C2989005 @default.
• W3039062400 hasConcept C35772409 @default.
• W3039062400 hasConcept C41008148 @default.
• W3039062400 hasConcept C544519230 @default.
• W3039062400 hasConcept C55020928 @default.
• W3039062400 hasConcept C71924100 @default.
• W3039062400 hasConcept C86190813 @default.
• W3039062400 hasConcept C86803240 @default.
• W3039062400 hasConcept C99498987 @default.
• W3039062400 hasConceptScore W3039062400C104293457 @default.
• W3039062400 hasConceptScore W3039062400C115961682 @default.
• W3039062400 hasConceptScore W3039062400C126838900 @default.
• W3039062400 hasConceptScore W3039062400C151730666 @default.
• W3039062400 hasConceptScore W3039062400C154945302 @default.
• W3039062400 hasConceptScore W3039062400C187954543 @default.
• W3039062400 hasConceptScore W3039062400C2776502983 @default.
• W3039062400 hasConceptScore W3039062400C2779343474 @default.
• W3039062400 hasConceptScore W3039062400C2989005 @default.
• W3039062400 hasConceptScore W3039062400C35772409 @default.
• W3039062400 hasConceptScore W3039062400C41008148 @default.
• W3039062400 hasConceptScore W3039062400C544519230 @default.
• W3039062400 hasConceptScore W3039062400C55020928 @default.
• W3039062400 hasConceptScore W3039062400C71924100 @default.
• W3039062400 hasConceptScore W3039062400C86190813 @default.
• W3039062400 hasConceptScore W3039062400C86803240 @default.
• W3039062400 hasConceptScore W3039062400C99498987 @default.
• W3039062400 hasIssue "3" @default.
• W3039062400 hasLocation W30390624001 @default.
• W3039062400 hasLocation W30390624002 @default.
• W3039062400 hasLocation W30390624003 @default.
• W3039062400 hasOpenAccess W3039062400 @default.
• W3039062400 hasPrimaryLocation W30390624001 @default.
• W3039062400 hasRelatedWork W2013562648 @default.
• W3039062400 hasRelatedWork W2043046031 @default.
• W3039062400 hasRelatedWork W2169383362 @default.
• W3039062400 hasRelatedWork W2215132873 @default.
• W3039062400 hasRelatedWork W2333636518 @default.
• W3039062400 hasRelatedWork W2745571083 @default.
• W3039062400 hasRelatedWork W2912251332 @default.
• W3039062400 hasRelatedWork W3086007407 @default.
• W3039062400 hasRelatedWork W4210692026 @default.
• W3039062400 hasRelatedWork W2004083297 @default.

• next