FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2024971034> ?p ?o ?g. }

• W2024971034 endingPage "818" @default.
• W2024971034 startingPage "810" @default.
• W2024971034 abstract "Abstract Noise is a major concern in many important imaging applications. To improve data signal‐to‐noise ratio (SNR), experiments often focus on collecting low‐frequency k ‐space data. This article proposes a new scheme to enable extended k ‐space sampling in these contexts. It is shown that the degradation in SNR associated with extended sampling can be effectively mitigated by using statistical modeling in concert with anatomical prior information. The method represents a significant departure from most existing anatomically constrained imaging methods, which rely on anatomical information to achieve super‐resolution. The method has the advantage that less accurate anatomical information is required relative to super‐resolution approaches. Theoretical and experimental results are provided to characterize the performance of the proposed scheme. Magn Reson Med 59:810–818, 2008. © 2008 Wiley‐Liss, Inc." @default.
• W2024971034 created "2016-06-24" @default.
• W2024971034 creator A5014709751 @default.
• W2024971034 creator A5031370363 @default.
• W2024971034 creator A5034978233 @default.
• W2024971034 creator A5038855383 @default.
• W2024971034 date "2008-03-27" @default.
• W2024971034 modified "2023-10-18" @default.
• W2024971034 title "Anatomically constrained reconstruction from noisy data" @default.
• W2024971034 cites W1501672475 @default.
• W2024971034 cites W1572095054 @default.
• W2024971034 cites W1971571088 @default.
• W2024971034 cites W1986462589 @default.
• W2024971034 cites W2000229085 @default.
• W2024971034 cites W2002077325 @default.
• W2024971034 cites W2002199990 @default.
• W2024971034 cites W2002472530 @default.
• W2024971034 cites W2020999234 @default.
• W2024971034 cites W2071516025 @default.
• W2024971034 cites W2079654218 @default.
• W2024971034 cites W2080744942 @default.
• W2024971034 cites W2084184095 @default.
• W2024971034 cites W2086634314 @default.
• W2024971034 cites W2088616581 @default.
• W2024971034 cites W2103559027 @default.
• W2024971034 cites W2104861988 @default.
• W2024971034 cites W2105910985 @default.
• W2024971034 cites W2113891902 @default.
• W2024971034 cites W2121570028 @default.
• W2024971034 cites W2126247504 @default.
• W2024971034 cites W2135850504 @default.
• W2024971034 cites W2139600844 @default.
• W2024971034 cites W2140689923 @default.
• W2024971034 cites W2141528999 @default.
• W2024971034 cites W2147657861 @default.
• W2024971034 cites W2147799770 @default.
• W2024971034 cites W2157549219 @default.
• W2024971034 cites W2166887721 @default.
• W2024971034 cites W2167225762 @default.
• W2024971034 cites W2169738667 @default.
• W2024971034 cites W2316564661 @default.
• W2024971034 cites W4253250161 @default.
• W2024971034 cites W4254449180 @default.
• W2024971034 cites W4377077282 @default.
• W2024971034 doi "https://doi.org/10.1002/mrm.21536" @default.
• W2024971034 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18383297" @default.
• W2024971034 hasPublicationYear "2008" @default.
• W2024971034 type Work @default.
• W2024971034 sameAs 2024971034 @default.
• W2024971034 citedByCount "97" @default.
• W2024971034 countsByYear W20249710342012 @default.
• W2024971034 countsByYear W20249710342013 @default.
• W2024971034 countsByYear W20249710342014 @default.
• W2024971034 countsByYear W20249710342015 @default.
• W2024971034 countsByYear W20249710342016 @default.
• W2024971034 countsByYear W20249710342017 @default.
• W2024971034 countsByYear W20249710342018 @default.
• W2024971034 countsByYear W20249710342019 @default.
• W2024971034 countsByYear W20249710342020 @default.
• W2024971034 countsByYear W20249710342021 @default.
• W2024971034 countsByYear W20249710342022 @default.
• W2024971034 countsByYear W20249710342023 @default.
• W2024971034 crossrefType "journal-article" @default.
• W2024971034 hasAuthorship W2024971034A5014709751 @default.
• W2024971034 hasAuthorship W2024971034A5031370363 @default.
• W2024971034 hasAuthorship W2024971034A5034978233 @default.
• W2024971034 hasAuthorship W2024971034A5038855383 @default.
• W2024971034 hasConcept C106131492 @default.
• W2024971034 hasConcept C111919701 @default.
• W2024971034 hasConcept C11413529 @default.
• W2024971034 hasConcept C115961682 @default.
• W2024971034 hasConcept C120665830 @default.
• W2024971034 hasConcept C121332964 @default.
• W2024971034 hasConcept C124101348 @default.
• W2024971034 hasConcept C134306372 @default.
• W2024971034 hasConcept C138268822 @default.
• W2024971034 hasConcept C13944312 @default.
• W2024971034 hasConcept C140779682 @default.
• W2024971034 hasConcept C153180895 @default.
• W2024971034 hasConcept C154945302 @default.
• W2024971034 hasConcept C192209626 @default.
• W2024971034 hasConcept C199360897 @default.
• W2024971034 hasConcept C2778572836 @default.
• W2024971034 hasConcept C2779843651 @default.
• W2024971034 hasConcept C3020402766 @default.
• W2024971034 hasConcept C31972630 @default.
• W2024971034 hasConcept C33923547 @default.
• W2024971034 hasConcept C41008148 @default.
• W2024971034 hasConcept C76155785 @default.
• W2024971034 hasConcept C77618280 @default.
• W2024971034 hasConcept C99498987 @default.
• W2024971034 hasConceptScore W2024971034C106131492 @default.
• W2024971034 hasConceptScore W2024971034C111919701 @default.
• W2024971034 hasConceptScore W2024971034C11413529 @default.
• W2024971034 hasConceptScore W2024971034C115961682 @default.
• W2024971034 hasConceptScore W2024971034C120665830 @default.
• W2024971034 hasConceptScore W2024971034C121332964 @default.
• W2024971034 hasConceptScore W2024971034C124101348 @default.

• next