Matches in SemOpenAlex for { <https://semopenalex.org/work/W3011252275> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W3011252275 abstract "As a quantitative CT imaging technique, the dual-energy CT (DECT) imaging method attracts a lot of research interests. However, material decomposition from high energy (HE) and low energy (LE) data may suffer from magnified noise, resulting in severe degradation of image quality and decomposition accuracy. To overcome these challenges, this study presents a novel DECT material decomposition method based on deep neural network (DNN). In particular, this new DNN integrates the CT image reconstruction task and the nonlinear material decomposition procedures into one single network. This end-to-end network consists of three compartments: the sinogram domain decomposition compartment, the user-defined analytical domain transformation operation (OP) compartment, and the image domain decomposition compartment. By design, both the first and third compartments are responsible for complicated nonlinear material decomposition, while denoising the DECT images. Natural images are used to synthesized the dual-energy data with assumed certain volume fractions and density distributions. By doing so, the burden of collecting clinical DECT data can be significantly reduced, therefore the new DECT reconstruction framework becomes more easy to be implemented. Both numerical and experimental validation results demonstrate that the proposed DNN based DECT reconstruction algorithm can generate high quality basis images with improved accuracy." @default.
- W3011252275 created "2020-03-23" @default.
- W3011252275 creator A5024833275 @default.
- W3011252275 creator A5042576006 @default.
- W3011252275 creator A5047536759 @default.
- W3011252275 creator A5053717286 @default.
- W3011252275 creator A5065509394 @default.
- W3011252275 creator A5075789206 @default.
- W3011252275 creator A5090510008 @default.
- W3011252275 date "2020-03-16" @default.
- W3011252275 modified "2023-09-28" @default.
- W3011252275 title "Dual-energy CT reconstruction using deep mutual-domain knowledge for basis decomposition and denoising" @default.
- W3011252275 doi "https://doi.org/10.1117/12.2547736" @default.
- W3011252275 hasPublicationYear "2020" @default.
- W3011252275 type Work @default.
- W3011252275 sameAs 3011252275 @default.
- W3011252275 citedByCount "2" @default.
- W3011252275 countsByYear W30112522752023 @default.
- W3011252275 crossrefType "proceedings-article" @default.
- W3011252275 hasAuthorship W3011252275A5024833275 @default.
- W3011252275 hasAuthorship W3011252275A5042576006 @default.
- W3011252275 hasAuthorship W3011252275A5047536759 @default.
- W3011252275 hasAuthorship W3011252275A5053717286 @default.
- W3011252275 hasAuthorship W3011252275A5065509394 @default.
- W3011252275 hasAuthorship W3011252275A5075789206 @default.
- W3011252275 hasAuthorship W3011252275A5090510008 @default.
- W3011252275 hasConcept C12426560 @default.
- W3011252275 hasConcept C124681953 @default.
- W3011252275 hasConcept C124952713 @default.
- W3011252275 hasConcept C141379421 @default.
- W3011252275 hasConcept C142362112 @default.
- W3011252275 hasConcept C153180895 @default.
- W3011252275 hasConcept C154945302 @default.
- W3011252275 hasConcept C163294075 @default.
- W3011252275 hasConcept C178790620 @default.
- W3011252275 hasConcept C185592680 @default.
- W3011252275 hasConcept C2524010 @default.
- W3011252275 hasConcept C2780980858 @default.
- W3011252275 hasConcept C33923547 @default.
- W3011252275 hasConcept C41008148 @default.
- W3011252275 hasConceptScore W3011252275C12426560 @default.
- W3011252275 hasConceptScore W3011252275C124681953 @default.
- W3011252275 hasConceptScore W3011252275C124952713 @default.
- W3011252275 hasConceptScore W3011252275C141379421 @default.
- W3011252275 hasConceptScore W3011252275C142362112 @default.
- W3011252275 hasConceptScore W3011252275C153180895 @default.
- W3011252275 hasConceptScore W3011252275C154945302 @default.
- W3011252275 hasConceptScore W3011252275C163294075 @default.
- W3011252275 hasConceptScore W3011252275C178790620 @default.
- W3011252275 hasConceptScore W3011252275C185592680 @default.
- W3011252275 hasConceptScore W3011252275C2524010 @default.
- W3011252275 hasConceptScore W3011252275C2780980858 @default.
- W3011252275 hasConceptScore W3011252275C33923547 @default.
- W3011252275 hasConceptScore W3011252275C41008148 @default.
- W3011252275 hasLocation W30112522751 @default.
- W3011252275 hasOpenAccess W3011252275 @default.
- W3011252275 hasPrimaryLocation W30112522751 @default.
- W3011252275 hasRelatedWork W1978450727 @default.
- W3011252275 hasRelatedWork W2033914206 @default.
- W3011252275 hasRelatedWork W2146076056 @default.
- W3011252275 hasRelatedWork W2163831990 @default.
- W3011252275 hasRelatedWork W2378160586 @default.
- W3011252275 hasRelatedWork W3003836766 @default.
- W3011252275 hasRelatedWork W3107474891 @default.
- W3011252275 hasRelatedWork W4244943737 @default.
- W3011252275 hasRelatedWork W4313348633 @default.
- W3011252275 hasRelatedWork W2092619848 @default.
- W3011252275 isParatext "false" @default.
- W3011252275 isRetracted "false" @default.
- W3011252275 magId "3011252275" @default.
- W3011252275 workType "article" @default.