Statistical CT noise reduction with multiscale decomposition and penalized weighted least squares in the projection domain
about
Statistical iterative reconstruction using adaptive fractional order regularizationRadial differential interior tomography and its image reconstruction with differentiated backprojection and projection onto convex sets.Low-dose CT via convolutional neural networkDeriving adaptive MRF coefficients from previous normal-dose CT scan for low-dose image reconstruction via penalized weighted least-squares minimization.Spectral prior image constrained compressed sensing (spectral PICCS) for photon-counting computed tomography.Measuring myofiber orientations from high-frequency ultrasound images using multiscale decompositions.Accelerated barrier optimization compressed sensing (ABOCS) for CT reconstruction with improved convergence.Spectral CT Reconstruction with Image Sparsity and Spectral Mean.
P2860
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P2860
Statistical CT noise reduction with multiscale decomposition and penalized weighted least squares in the projection domain
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Statistical CT noise reduction ...... uares in the projection domain
@ast
Statistical CT noise reduction ...... uares in the projection domain
@en
type
label
Statistical CT noise reduction ...... uares in the projection domain
@ast
Statistical CT noise reduction ...... uares in the projection domain
@en
prefLabel
Statistical CT noise reduction ...... uares in the projection domain
@ast
Statistical CT noise reduction ...... uares in the projection domain
@en
P2860
P356
P1433
P1476
Statistical CT noise reduction ...... uares in the projection domain
@en
P2093
Shaojie Tang
Xiangyang Tang
P2860
P304
P356
10.1118/1.4745564
P407
P577
2012-09-01T00:00:00Z