Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017013546> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2017013546 abstract "Ultrasound-based targeted molecular imaging holds promise for early detection and diagnosis of cardiovascular disease and stroke. Current methods used to separate signal from adherent microbubbles are based on frequency domain filtering. Singular spectrum-based targeted molecular (SiSTM) imaging is a recently proposed technique that employ statistical properties, as quantified by the normalized singular spectrum area (NSSA), to more effectively separate signal components in large blood vessels. However, the computational cost to calculate NSSA is high, and thus real-time implementation is challenging. In this paper, flow phantom experiments demonstrated the NSSA-decorrelation patterns caused by different mechanisms: electronic noise, in-beam and out-of-beam movement of scatterers. Results showed that flow rates had little effect on the NSSA-decorrelation pattern caused by out-of-beam decorrelation. Based on the relationship between NSSA and decorrelation (approximately quadratic, adjusted-R <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> > 0.86), decorrelation-based adherent microbubble detection was demonstrated to be a faster (2-fold) alternative while maintaining similar performance compared to the NSSA-based method (less than 3% difference)." @default.
- W2017013546 created "2016-06-24" @default.
- W2017013546 creator A5015167268 @default.
- W2017013546 creator A5026554640 @default.
- W2017013546 creator A5074811994 @default.
- W2017013546 date "2013-07-01" @default.
- W2017013546 modified "2023-09-27" @default.
- W2017013546 title "Decorrelation-based adherent microbubble identification as a faster alternative to singular spectrum-based targeted molecular (SiSTM) imaging of large blood vessels" @default.
- W2017013546 cites W1988021202 @default.
- W2017013546 cites W2001455415 @default.
- W2017013546 cites W2021324252 @default.
- W2017013546 cites W2034373812 @default.
- W2017013546 cites W2059378595 @default.
- W2017013546 cites W2059507143 @default.
- W2017013546 cites W2070051971 @default.
- W2017013546 cites W2100303262 @default.
- W2017013546 cites W2125542444 @default.
- W2017013546 cites W2142945000 @default.
- W2017013546 cites W2146391103 @default.
- W2017013546 cites W2157665562 @default.
- W2017013546 cites W2170762615 @default.
- W2017013546 doi "https://doi.org/10.1109/ultsym.2013.0466" @default.
- W2017013546 hasPublicationYear "2013" @default.
- W2017013546 type Work @default.
- W2017013546 sameAs 2017013546 @default.
- W2017013546 citedByCount "3" @default.
- W2017013546 countsByYear W20170135462015 @default.
- W2017013546 countsByYear W20170135462017 @default.
- W2017013546 countsByYear W20170135462018 @default.
- W2017013546 crossrefType "proceedings-article" @default.
- W2017013546 hasAuthorship W2017013546A5015167268 @default.
- W2017013546 hasAuthorship W2017013546A5026554640 @default.
- W2017013546 hasAuthorship W2017013546A5074811994 @default.
- W2017013546 hasConcept C104293457 @default.
- W2017013546 hasConcept C11413529 @default.
- W2017013546 hasConcept C120665830 @default.
- W2017013546 hasConcept C121332964 @default.
- W2017013546 hasConcept C143753070 @default.
- W2017013546 hasConcept C154945302 @default.
- W2017013546 hasConcept C177860922 @default.
- W2017013546 hasConcept C199360897 @default.
- W2017013546 hasConcept C24890656 @default.
- W2017013546 hasConcept C2779843651 @default.
- W2017013546 hasConcept C41008148 @default.
- W2017013546 hasConcept C64012434 @default.
- W2017013546 hasConceptScore W2017013546C104293457 @default.
- W2017013546 hasConceptScore W2017013546C11413529 @default.
- W2017013546 hasConceptScore W2017013546C120665830 @default.
- W2017013546 hasConceptScore W2017013546C121332964 @default.
- W2017013546 hasConceptScore W2017013546C143753070 @default.
- W2017013546 hasConceptScore W2017013546C154945302 @default.
- W2017013546 hasConceptScore W2017013546C177860922 @default.
- W2017013546 hasConceptScore W2017013546C199360897 @default.
- W2017013546 hasConceptScore W2017013546C24890656 @default.
- W2017013546 hasConceptScore W2017013546C2779843651 @default.
- W2017013546 hasConceptScore W2017013546C41008148 @default.
- W2017013546 hasConceptScore W2017013546C64012434 @default.
- W2017013546 hasLocation W20170135461 @default.
- W2017013546 hasOpenAccess W2017013546 @default.
- W2017013546 hasPrimaryLocation W20170135461 @default.
- W2017013546 hasRelatedWork W2033798675 @default.
- W2017013546 hasRelatedWork W2047002947 @default.
- W2017013546 hasRelatedWork W2060182451 @default.
- W2017013546 hasRelatedWork W2097023548 @default.
- W2017013546 hasRelatedWork W2142193661 @default.
- W2017013546 hasRelatedWork W2143317635 @default.
- W2017013546 hasRelatedWork W2146973238 @default.
- W2017013546 hasRelatedWork W2375393554 @default.
- W2017013546 hasRelatedWork W2514725038 @default.
- W2017013546 hasRelatedWork W3135665308 @default.
- W2017013546 isParatext "false" @default.
- W2017013546 isRetracted "false" @default.
- W2017013546 magId "2017013546" @default.
- W2017013546 workType "article" @default.