Matches in SemOpenAlex for { <https://semopenalex.org/work/W2767562151> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2767562151 endingPage "29328" @default.
- W2767562151 startingPage "29328" @default.
- W2767562151 abstract "X-ray computed tomography (CT) is an important diagnostic tool in medicine as well as being an essential research technique for animal imaging and bioscience. The key aim of this study is to assess the effectiveness, in both simulation and experiment, of differentiating soft tissue from bone as well as bone densitometry, using energy-discriminating X-ray detection. Polychromatic sources, such as standard X-ray tubes, can produce similar CT numbers for materials with different compositions, making differentiation and quantification of tissue and bone extremely challenging. In addition, ‘beam-hardening’ which occurs due to the relative increase in the attenuation of low energy photons compared to high energy photons, can create significant CT artifacts. To improve material contrast and eliminate beam hardening, a number of different approaches have been developed. These include dual-energy CT using two different X-ray tube voltages, photon beam filtration, and post-processing of the data. Here we present an alternative approach using the photon counting PiXirad detector. Simulations are used to establish optimal parameters for data acquisition. This is followed by tomographic experiments performed on a phantom and a mouse embryo. The energy discriminating properties of the detector are exploited to avoid beam-hardening artefacts, to differentiate soft-tissue and bone within the mouse embryo, and to quantify bone density. Compared with polychromatic CT using an integrating detector this approach yields a number of significant advantages for materials specific imaging and quantification." @default.
- W2767562151 created "2017-11-17" @default.
- W2767562151 creator A5028262073 @default.
- W2767562151 creator A5049046184 @default.
- W2767562151 creator A5051023751 @default.
- W2767562151 creator A5089723778 @default.
- W2767562151 date "2017-11-09" @default.
- W2767562151 modified "2023-10-18" @default.
- W2767562151 title "Soft-tissue differentiation and bone densitometry via energy-discriminating X-ray microCT" @default.
- W2767562151 cites W1926920987 @default.
- W2767562151 cites W1965673981 @default.
- W2767562151 cites W1972544340 @default.
- W2767562151 cites W1973203270 @default.
- W2767562151 cites W1981418870 @default.
- W2767562151 cites W1992122848 @default.
- W2767562151 cites W1995384475 @default.
- W2767562151 cites W1999321979 @default.
- W2767562151 cites W2001433059 @default.
- W2767562151 cites W2009840344 @default.
- W2767562151 cites W2015684438 @default.
- W2767562151 cites W2055114569 @default.
- W2767562151 cites W2056474222 @default.
- W2767562151 cites W2062901757 @default.
- W2767562151 cites W2063567835 @default.
- W2767562151 cites W2067946026 @default.
- W2767562151 cites W2090025318 @default.
- W2767562151 cites W2114798404 @default.
- W2767562151 cites W2126609373 @default.
- W2767562151 cites W2136281361 @default.
- W2767562151 cites W2156960970 @default.
- W2767562151 cites W2169887586 @default.
- W2767562151 cites W2538393649 @default.
- W2767562151 cites W2558836590 @default.
- W2767562151 cites W2581465726 @default.
- W2767562151 cites W2594740008 @default.
- W2767562151 cites W3010293131 @default.
- W2767562151 cites W3043450174 @default.
- W2767562151 cites W3103462365 @default.
- W2767562151 cites W2532438654 @default.
- W2767562151 doi "https://doi.org/10.1364/oe.25.029328" @default.
- W2767562151 hasPublicationYear "2017" @default.
- W2767562151 type Work @default.
- W2767562151 sameAs 2767562151 @default.
- W2767562151 citedByCount "15" @default.
- W2767562151 countsByYear W27675621512018 @default.
- W2767562151 countsByYear W27675621512019 @default.
- W2767562151 countsByYear W27675621512020 @default.
- W2767562151 countsByYear W27675621512021 @default.
- W2767562151 countsByYear W27675621512022 @default.
- W2767562151 countsByYear W27675621512023 @default.
- W2767562151 crossrefType "journal-article" @default.
- W2767562151 hasAuthorship W2767562151A5028262073 @default.
- W2767562151 hasAuthorship W2767562151A5049046184 @default.
- W2767562151 hasAuthorship W2767562151A5051023751 @default.
- W2767562151 hasAuthorship W2767562151A5089723778 @default.
- W2767562151 hasBestOaLocation W27675621511 @default.
- W2767562151 hasConcept C120665830 @default.
- W2767562151 hasConcept C121332964 @default.
- W2767562151 hasConcept C136229726 @default.
- W2767562151 hasConcept C136496925 @default.
- W2767562151 hasConcept C136948725 @default.
- W2767562151 hasConcept C142724271 @default.
- W2767562151 hasConcept C192562407 @default.
- W2767562151 hasConcept C2778606738 @default.
- W2767562151 hasConcept C71924100 @default.
- W2767562151 hasConceptScore W2767562151C120665830 @default.
- W2767562151 hasConceptScore W2767562151C121332964 @default.
- W2767562151 hasConceptScore W2767562151C136229726 @default.
- W2767562151 hasConceptScore W2767562151C136496925 @default.
- W2767562151 hasConceptScore W2767562151C136948725 @default.
- W2767562151 hasConceptScore W2767562151C142724271 @default.
- W2767562151 hasConceptScore W2767562151C192562407 @default.
- W2767562151 hasConceptScore W2767562151C2778606738 @default.
- W2767562151 hasConceptScore W2767562151C71924100 @default.
- W2767562151 hasFunder F4320334704 @default.
- W2767562151 hasIssue "23" @default.
- W2767562151 hasLocation W27675621511 @default.
- W2767562151 hasOpenAccess W2767562151 @default.
- W2767562151 hasPrimaryLocation W27675621511 @default.
- W2767562151 hasRelatedWork W1898928116 @default.
- W2767562151 hasRelatedWork W1972378272 @default.
- W2767562151 hasRelatedWork W1980898346 @default.
- W2767562151 hasRelatedWork W2006812266 @default.
- W2767562151 hasRelatedWork W2012490650 @default.
- W2767562151 hasRelatedWork W2073714402 @default.
- W2767562151 hasRelatedWork W2399277937 @default.
- W2767562151 hasRelatedWork W2402520640 @default.
- W2767562151 hasRelatedWork W2736123818 @default.
- W2767562151 hasRelatedWork W2976158500 @default.
- W2767562151 hasVolume "25" @default.
- W2767562151 isParatext "false" @default.
- W2767562151 isRetracted "false" @default.
- W2767562151 magId "2767562151" @default.
- W2767562151 workType "article" @default.