Characterization of statistical prior image constrained compressed sensing (PICCS): II. Application to dose reduction.
about
dPIRPLE: a joint estimation framework for deformable registration and penalized-likelihood CT image reconstruction using prior imagesStatistical image reconstruction for low-dose CT using nonlocal means-based regularization.Sparse-view x-ray CT reconstruction via total generalized variation regularization.Iterative image reconstruction for sparse-view CT using normal-dose image induced total variation prior.Prospective regularization design in prior-image-based reconstruction.Reconstruction of difference in sequential CT studies using penalized likelihood estimationPIRPLE: a penalized-likelihood framework for incorporation of prior images in CT reconstruction.Deriving adaptive MRF coefficients from previous normal-dose CT scan for low-dose image reconstruction via penalized weighted least-squares minimization.Iterative reconstruction for x-ray computed tomography using prior-image induced nonlocal regularization.Combine TV-L1 model with guided image filtering for wide and faint ring artifacts correction of in-line x-ray phase contrast computed tomography.Statistical model based iterative reconstruction (MBIR) in clinical CT systems: experimental assessment of noise performance.Soft-tissue imaging with C-arm cone-beam CT using statistical reconstruction.Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. Part II: An adaptive approach.An improved statistical iterative algorithm for sparse-view and limited-angle CT image reconstruction.Statistical model based iterative reconstruction (MBIR) in clinical CT systems. Part II. Experimental assessment of spatial resolution performance.Discriminative Prior - Prior Image Constrained Compressed Sensing Reconstruction for Low-Dose CT Imaging.Motion-map constrained image reconstruction (MCIR): application to four-dimensional cone-beam computed tomography.
P2860
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P2860
Characterization of statistical prior image constrained compressed sensing (PICCS): II. Application to dose reduction.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Characterization of statistica ...... Application to dose reduction.
@ast
Characterization of statistica ...... Application to dose reduction.
@en
type
label
Characterization of statistica ...... Application to dose reduction.
@ast
Characterization of statistica ...... Application to dose reduction.
@en
prefLabel
Characterization of statistica ...... Application to dose reduction.
@ast
Characterization of statistica ...... Application to dose reduction.
@en
P2860
P356
P1433
P1476
Characterization of statistica ...... Application to dose reduction.
@en
P2093
Guang-Hong Chen
Pascal Theriault Lauzier
P2860
P304
P356
10.1118/1.4773866
P407
P577
2013-02-01T00:00:00Z