Matches in SemOpenAlex for { <https://semopenalex.org/work/W2540996945> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2540996945 abstract "Variance is one of the important metrics which is very useful in characterizing PET images, in particular when used in parameter estimation of dynamic PET data and in comparing different reconstruction algorithms or correction methods. Due to the nonlinear nature of some iterative reconstruction algorithms, (e.g., the ordered subset expectation maximization (OSEM)), voxel-level variance estimation can be challenging. However, although such estimation can be achieved via techniques such as Monte Carlo and the bootstrap, these techniques require a lot of computational time and are often impractical. In this work it was investigated whether the voxel-level variance/standard deviation can be estimated based on a single PET scan for any given region of interest (ROI) as long as the region is homogeneous and of large enough size to offer acceptable accuracy. Such variance estimation was here applied to two brain phantom scans with varying count level and a single human brain scan of [11C]raclopride by considering a homogeneous neighbourhood of a given size for any individual voxel. The results were then compared to the variance estimation based on the bootstrap method applied to the same PET scans. It is shown that the single scan method can approximate the voxel-level standard deviation (SD) with a reasonable accuracy (15 %) for noisy and low count datasets but it breaks down for higher count levels. For large and homogeneous regions larger voxel neighbourhoods achieve better agreement with the bootstrap estimation of SD. However, in the striatum the size of the voxel neighbourhood has to be smaller due to the size of the region, otherwise the homogeneity condition will not be met. The advantage of this approximate method is that it is very simple to apply without any extra theoretical assumptions." @default.
- W2540996945 created "2016-11-04" @default.
- W2540996945 creator A5006672428 @default.
- W2540996945 creator A5019124920 @default.
- W2540996945 creator A5033247114 @default.
- W2540996945 date "2012-10-01" @default.
- W2540996945 modified "2023-09-26" @default.
- W2540996945 title "Approximation of voxel-level variances from spatial-variances for single scan PET data" @default.
- W2540996945 cites W1993002126 @default.
- W2540996945 cites W2015583343 @default.
- W2540996945 cites W2042469942 @default.
- W2540996945 cites W2062405372 @default.
- W2540996945 cites W2113891902 @default.
- W2540996945 cites W2123992327 @default.
- W2540996945 cites W2133391477 @default.
- W2540996945 cites W2162308311 @default.
- W2540996945 cites W2331432542 @default.
- W2540996945 doi "https://doi.org/10.1109/nssmic.2012.6551922" @default.
- W2540996945 hasPublicationYear "2012" @default.
- W2540996945 type Work @default.
- W2540996945 sameAs 2540996945 @default.
- W2540996945 citedByCount "0" @default.
- W2540996945 crossrefType "proceedings-article" @default.
- W2540996945 hasAuthorship W2540996945A5006672428 @default.
- W2540996945 hasAuthorship W2540996945A5019124920 @default.
- W2540996945 hasAuthorship W2540996945A5033247114 @default.
- W2540996945 hasConcept C104293457 @default.
- W2540996945 hasConcept C105795698 @default.
- W2540996945 hasConcept C11413529 @default.
- W2540996945 hasConcept C121955636 @default.
- W2540996945 hasConcept C144133560 @default.
- W2540996945 hasConcept C153180895 @default.
- W2540996945 hasConcept C154945302 @default.
- W2540996945 hasConcept C19499675 @default.
- W2540996945 hasConcept C196083921 @default.
- W2540996945 hasConcept C22679943 @default.
- W2540996945 hasConcept C2989005 @default.
- W2540996945 hasConcept C33923547 @default.
- W2540996945 hasConcept C41008148 @default.
- W2540996945 hasConcept C54170458 @default.
- W2540996945 hasConcept C62644790 @default.
- W2540996945 hasConcept C71924100 @default.
- W2540996945 hasConceptScore W2540996945C104293457 @default.
- W2540996945 hasConceptScore W2540996945C105795698 @default.
- W2540996945 hasConceptScore W2540996945C11413529 @default.
- W2540996945 hasConceptScore W2540996945C121955636 @default.
- W2540996945 hasConceptScore W2540996945C144133560 @default.
- W2540996945 hasConceptScore W2540996945C153180895 @default.
- W2540996945 hasConceptScore W2540996945C154945302 @default.
- W2540996945 hasConceptScore W2540996945C19499675 @default.
- W2540996945 hasConceptScore W2540996945C196083921 @default.
- W2540996945 hasConceptScore W2540996945C22679943 @default.
- W2540996945 hasConceptScore W2540996945C2989005 @default.
- W2540996945 hasConceptScore W2540996945C33923547 @default.
- W2540996945 hasConceptScore W2540996945C41008148 @default.
- W2540996945 hasConceptScore W2540996945C54170458 @default.
- W2540996945 hasConceptScore W2540996945C62644790 @default.
- W2540996945 hasConceptScore W2540996945C71924100 @default.
- W2540996945 hasLocation W25409969451 @default.
- W2540996945 hasOpenAccess W2540996945 @default.
- W2540996945 hasPrimaryLocation W25409969451 @default.
- W2540996945 hasRelatedWork W1989441086 @default.
- W2540996945 hasRelatedWork W1992155932 @default.
- W2540996945 hasRelatedWork W2004999424 @default.
- W2540996945 hasRelatedWork W2006524896 @default.
- W2540996945 hasRelatedWork W2046876719 @default.
- W2540996945 hasRelatedWork W2117905356 @default.
- W2540996945 hasRelatedWork W2119122110 @default.
- W2540996945 hasRelatedWork W2119366377 @default.
- W2540996945 hasRelatedWork W2132180016 @default.
- W2540996945 hasRelatedWork W2133391477 @default.
- W2540996945 hasRelatedWork W2137684050 @default.
- W2540996945 hasRelatedWork W2149779354 @default.
- W2540996945 hasRelatedWork W2532824498 @default.
- W2540996945 hasRelatedWork W2533867719 @default.
- W2540996945 hasRelatedWork W2537494746 @default.
- W2540996945 hasRelatedWork W2543521301 @default.
- W2540996945 hasRelatedWork W2544764950 @default.
- W2540996945 hasRelatedWork W2756327922 @default.
- W2540996945 hasRelatedWork W2775994589 @default.
- W2540996945 hasRelatedWork W2158582456 @default.
- W2540996945 isParatext "false" @default.
- W2540996945 isRetracted "false" @default.
- W2540996945 magId "2540996945" @default.
- W2540996945 workType "article" @default.