On estimating the variance of smoothed MLEM images

IEEE Nuclear Science Symposium and Medical Imaging Conference

Volumn 3, Issue , 2001, Pages 1414-1418

  Nuyts, Johan ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Maximum likelihood; Reconstruction; Variance

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CURVE FITTING; IMAGE RECONSTRUCTION; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; POSITRON EMISSION TOMOGRAPHY;

FISHER INFORMATION MATRIX; MAXIMUM-LIKELIHOOD-EXPECTATION-MAXIMIZATION ALGORITHM; TRACER KINETIC MODELING; WEIGHTED LEAST SQUARE FITTING;

ANTI-ALIASING;

EID: 0035554995     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Regularization for uniform spatial resolution properties in penalized-likelihood image reconstruction
2. Objective assessment of image quality. II. Fisher information, fourier crosstalk, and figures of merit for task performance
3. Noise properties of the EM algorithm: I. Theory
4. Noise properties of the EM algorithm: II. Monte Carlo simulations
5. Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): Applications to tomography
6. Spatial resolution properties of penalized-likelihood image reconstruction: Space-invariant tomographs
7. A theoretical study of the contrast recovery and variance of MAP reconstructions from PET data
8. Maximum likelihood reconstruction for emission tomography
9. Accelerated image reconstruction using ordered subsets of projection data