Now showing items 1-7 of 7
Statistical Emission Image Reconstruction for Randoms-Precorrected PET Scans Using Negative Sinogram Values
(IEEE, 2003-10-19)
Many conventional PET emission scans are corrected for accidental coincidence (AC) events, or randoms, by real-time subtraction of delayed-window coincidences, leaving only the randoms-precorrected data available for image ...
Globally Convergent Image Reconstruction for Emission Tomography Using Relaxed Ordered Subsets Algorithms
(IEEE, 2003-06-25)
We present two types of globally convergent relaxed ordered subsets (OS) algorithms for penalized-likelihood image reconstruction in emission tomography: modified block sequential regularized expectation-maximization (BSREM) ...
Covariance of Kinetic Parameter Estimators Based on Time Activity Curve Reconstructions: Preliminary Study on 1D Dynamic Imaging
(IEEE, 2004-04-15)
We provide approximate expressions for the covariance matrix of kinetic parameter estimators based on time activity curve (TAC) reconstructions when TACs are modeled as a linear combination of temporal basis functions such ...
Incremental Optimization Transfer Algorithms: Application to Transmission Tomography
(IEEE, 2004-10-16)
No convergent ordered subsets (OS) type image
reconstruction algorithms for transmission tomography have been
proposed to date. In contrast, in emission tomography, there
are two known families of convergent OS algorithms: ...
Emission Image Reconstruction for Randoms-Precorrected PET Allowing Negative Sinogram Values
(IEEE, 2004-05-04)
Most positron emission tomography (PET) emission scans are corrected for accidental coincidence (AC) events by real-time subtraction of delayed-window coincidences, leaving only the randoms-precorrected data available for ...
Convergent Incremental Optimization Transfer Algorithms: Application to Tomography
(IEEE, 2006-02-27)
No convergent ordered subsets (OS) type image reconstruction algorithms for transmission tomography have been proposed to date. In contrast, in emission tomography, there are two known families of convergent OS algorithms: ...
Globally Convergent Ordered Subsets Algorithms: Application to Tomography
(IEEE, 2001-11-04)
We present new algorithms for penalized-likelihood image reconstruction: modified BSREM (block sequential regularized expectation maximization) and relaxed OS-SPS (ordered subsets separable paraboloidal surrogates). Both ...