Quantifying admissible undersampling for sparsity-exploiting iterative image reconstruction in X-ray CT.
about
Volumetric CT with sparse detector arrays (and application to Si-strip photon counters).An algorithm for constrained one-step inversion of spectral CT dataSparse-view x-ray CT reconstruction via total generalized variation regularization.Constrained TpV Minimization for Enhanced Exploitation of Gradient Sparsity: Application to CT Image ReconstructionAnalysis of iterative region-of-interest image reconstruction for x-ray computed tomography.How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray computed tomography.Compressive sensing in medical imaging.First-order convex feasibility algorithms for x-ray CT.EMPIRICAL AVERAGE-CASE RELATION BETWEEN UNDERSAMPLING AND SPARSITY IN X-RAY CT.Estimation of noise properties for TV-regularized image reconstruction in computed tomographyOptimization-based image reconstruction in computed tomography by alternating direction method with ordered subsets.3D pulse EPR imaging from sparse-view projections via constrained, total variation minimization.Motion guided Spatiotemporal Sparsity for high quality 4D-CBCT reconstruction.Adaptive bacteria colony picking in unstructured environments using intensity histogram and unascertained LS-SVM classifier.Effects of sparse sampling schemes on image quality in low-dose CT.
P2860
Q30372173-04C77231-FE47-49D3-97F7-00F1FEBCABB3Q31078234-1382AC22-B3F6-4144-902E-54D8A66F72FDQ34448095-35F49083-51CF-40C0-8BC8-78E29F48D2FFQ34495764-84BC8A4A-FDF3-4EE7-BA46-DB2C2BF4F4F9Q35077805-524A3A6B-3BB9-43D8-B50E-23F58DAAE959Q35583705-30BE1EBD-CC06-4CA2-B4E7-BA9803B4A309Q36347746-D4D5138A-C8E2-4E05-B1AE-A0081DC431D9Q36688170-C7C4BE03-E7A2-40DB-96D9-2152BA445BCDQ36716411-647C3F85-AA7A-445B-A3B8-7F8B6383B6F7Q36851547-8ABC34F0-B21D-4F5F-ADEE-90A873C95C02Q38981377-D00CFD87-6805-46D7-AE79-866BBEEE9F8DQ40024260-33A35A32-AB25-4B10-832B-F5D642911108Q47163094-8F48CBA3-CF60-488D-B39A-24EC78160F9CQ53519428-39BC0E04-1C2C-4741-9AC4-2F49CB0C0AC8Q53657919-0B5D0D3C-8287-489F-9348-CDA745939FC3
P2860
Quantifying admissible undersampling for sparsity-exploiting iterative image reconstruction in X-ray CT.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh
2012年學術文章
@zh-hant
name
Quantifying admissible undersa ...... ge reconstruction in X-ray CT.
@en
Quantifying admissible undersa ...... ge reconstruction in X-ray CT.
@nl
type
label
Quantifying admissible undersa ...... ge reconstruction in X-ray CT.
@en
Quantifying admissible undersa ...... ge reconstruction in X-ray CT.
@nl
prefLabel
Quantifying admissible undersa ...... ge reconstruction in X-ray CT.
@en
Quantifying admissible undersa ...... ge reconstruction in X-ray CT.
@nl
P2093
P2860
P356
P1476
Quantifying admissible undersa ...... ge reconstruction in X-ray CT.
@en
P2093
Emil Y Sidky
Jakob S Jørgensen
Xiaochuan Pan
P2860
P304
P356
10.1109/TMI.2012.2230185
P577
2012-11-27T00:00:00Z