Matches in SemOpenAlex for { <https://semopenalex.org/work/W1967684351> ?p ?o ?g. }
Showing items 1 to 62 of
62
with 100 items per page.
- W1967684351 endingPage "2951" @default.
- W1967684351 startingPage "2951" @default.
- W1967684351 abstract "Spatiotemporal imaging embodies a large class of imaging problems, which involve collecting a sequence of data sets to resolve both the spatial and temporal (or spectral) distributions of some physical quantity. Some popular examples of spatiotemporal imaging include cardiac imaging, functional neuroimaging, and spectroscopic imaging. To obtain high spatiotemporal resolution, many methods have been proposed in the last two decades, which include fast-scan methods, reduced-encoding methods, and parallel imaging methods. Sparse sampling is emerging as another effective means to further accelerate various imaging experiments. Encouraging results have been obtained utilizing the compressibility of natural images based on the compressive sampling theory developed by Donoho et al. and Candes et al. We have recently proposed a new method that can sample (k, t)-space very sparsely for spatiotemporal (or spatial-spectral) imaging. The new method is based on the theory of partially separable functions and preliminary results demonstrate significant improvements in spatiotemporal resolution for cardiac imaging, functional brain imaging, to spectroscopic cancer imaging. This lecture will provide an overview of sparse sampling theories and discuss how these new theories can be used to significantly speed up the various imaging schemes. Educational Objectives: 1. Understand the basic principle of sparse sampling. 2. Understand the theory of partially separable functions and its application to sparse sampling. 3. Understand the issues related to fast imaging using sparse sampling." @default.
- W1967684351 created "2016-06-24" @default.
- W1967684351 creator A5019294923 @default.
- W1967684351 date "2008-06-01" @default.
- W1967684351 modified "2023-09-26" @default.
- W1967684351 title "WE-D-342-03: Fast Imaging with Sparse Sampling" @default.
- W1967684351 doi "https://doi.org/10.1118/1.2962765" @default.
- W1967684351 hasPublicationYear "2008" @default.
- W1967684351 type Work @default.
- W1967684351 sameAs 1967684351 @default.
- W1967684351 citedByCount "0" @default.
- W1967684351 crossrefType "journal-article" @default.
- W1967684351 hasAuthorship W1967684351A5019294923 @default.
- W1967684351 hasConcept C106131492 @default.
- W1967684351 hasConcept C120665830 @default.
- W1967684351 hasConcept C121332964 @default.
- W1967684351 hasConcept C124851039 @default.
- W1967684351 hasConcept C140779682 @default.
- W1967684351 hasConcept C141379421 @default.
- W1967684351 hasConcept C153180895 @default.
- W1967684351 hasConcept C154945302 @default.
- W1967684351 hasConcept C205372480 @default.
- W1967684351 hasConcept C31601959 @default.
- W1967684351 hasConcept C31972630 @default.
- W1967684351 hasConcept C3232514 @default.
- W1967684351 hasConcept C41008148 @default.
- W1967684351 hasConcept C57177791 @default.
- W1967684351 hasConceptScore W1967684351C106131492 @default.
- W1967684351 hasConceptScore W1967684351C120665830 @default.
- W1967684351 hasConceptScore W1967684351C121332964 @default.
- W1967684351 hasConceptScore W1967684351C124851039 @default.
- W1967684351 hasConceptScore W1967684351C140779682 @default.
- W1967684351 hasConceptScore W1967684351C141379421 @default.
- W1967684351 hasConceptScore W1967684351C153180895 @default.
- W1967684351 hasConceptScore W1967684351C154945302 @default.
- W1967684351 hasConceptScore W1967684351C205372480 @default.
- W1967684351 hasConceptScore W1967684351C31601959 @default.
- W1967684351 hasConceptScore W1967684351C31972630 @default.
- W1967684351 hasConceptScore W1967684351C3232514 @default.
- W1967684351 hasConceptScore W1967684351C41008148 @default.
- W1967684351 hasConceptScore W1967684351C57177791 @default.
- W1967684351 hasIssue "6Part24" @default.
- W1967684351 hasLocation W19676843511 @default.
- W1967684351 hasOpenAccess W1967684351 @default.
- W1967684351 hasPrimaryLocation W19676843511 @default.
- W1967684351 hasRelatedWork W1967684351 @default.
- W1967684351 hasRelatedWork W2003291730 @default.
- W1967684351 hasRelatedWork W2040967952 @default.
- W1967684351 hasRelatedWork W2073410161 @default.
- W1967684351 hasRelatedWork W2099840350 @default.
- W1967684351 hasRelatedWork W2294886082 @default.
- W1967684351 hasRelatedWork W2891364229 @default.
- W1967684351 hasRelatedWork W2987723940 @default.
- W1967684351 hasRelatedWork W3211627194 @default.
- W1967684351 hasRelatedWork W3102546458 @default.
- W1967684351 hasVolume "35" @default.
- W1967684351 isParatext "false" @default.
- W1967684351 isRetracted "false" @default.
- W1967684351 magId "1967684351" @default.
- W1967684351 workType "article" @default.