Attenuation correction in emission tomography using the emission data—a review
The problem of attenuation correction (AC) for quantitative positron emission tomography
(PET) had been considered solved to a large extent after the commercial availability of …
(PET) had been considered solved to a large extent after the commercial availability of …
[HTML][HTML] Direct estimation of kinetic parametric images for dynamic PET
Dynamic positron emission tomography (PET) can monitor spatiotemporal distribution of
radiotracer in vivo. The spatiotemporal information can be used to estimate parametric …
radiotracer in vivo. The spatiotemporal information can be used to estimate parametric …
Iterative low-dose CT reconstruction with priors trained by artificial neural network
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in
clinical applications. Iterative reconstruction algorithms are one of the most promising way to …
clinical applications. Iterative reconstruction algorithms are one of the most promising way to …
Low-dose X-ray CT reconstruction via dictionary learning
Although diagnostic medical imaging provides enormous benefits in the early detection and
accuracy diagnosis of various diseases, there are growing concerns on the potential side …
accuracy diagnosis of various diseases, there are growing concerns on the potential side …
Statistical image reconstruction for polyenergetic X-ray computed tomography
This paper describes a statistical image reconstruction method for X-ray computed
tomography (CT) that is based on a physical model that accounts for the polyenergetic X-ray …
tomography (CT) that is based on a physical model that accounts for the polyenergetic X-ray …
Majorization–minimization algorithms for wavelet-based image restoration
Standard formulations of image/signal deconvolution under wavelet-based
priors/regularizers lead to very high-dimensional optimization problems involving the …
priors/regularizers lead to very high-dimensional optimization problems involving the …
Ordered subsets algorithms for transmission tomography
The ordered subsets EM (OSEM) algorithm has enjoyed considerable interest for emission
image reconstruction due to its acceleration of the original EM algorithm and ease of …
image reconstruction due to its acceleration of the original EM algorithm and ease of …
Quantile regression via an MM algorithm
Quantile regression is an increasingly popular method for estimating the quantiles of a
distribution conditional on the values of covariates. Regression quantiles are robust against …
distribution conditional on the values of covariates. Regression quantiles are robust against …
Multi-material decomposition using statistical image reconstruction for spectral CT
Spectral computed tomography (CT) provides information on material characterization and
quantification because of its ability to separate different basis materials. Dual-energy (DE) …
quantification because of its ability to separate different basis materials. Dual-energy (DE) …
Fast model-based X-ray CT reconstruction using spatially nonhomogeneous ICD optimization
Recent applications of model-based iterative reconstruction (MBIR) algorithms to multislice
helical CT reconstructions have shown that MBIR can greatly improve image quality by …
helical CT reconstructions have shown that MBIR can greatly improve image quality by …