Spect image reconstruction using compound models

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2001, Pages 1909-1912

  Lopez A ^a   Molina, R ^a   Katsaggelos, A K ^a   Mateos, J ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; ESTIMATION; ITERATIVE METHODS; MARKOV PROCESSES; MATHEMATICAL MODELS; POISSON DISTRIBUTION;

COMPOUND GAUSS-MARKOV RANDOM FIELD; MAXIMUM A POSTERIORI ESTIMATION; SINGLE PHOTON MISSION COMPUTED TOMOGRAPHY;

IMAGE RECONSTRUCTION;

EID: 0034856234     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Tomographic image reconstruction using the theory of convex projections
2. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
3. Simulated annealing in compound Gaussian random fields
4. Image estimation using 2D noncausal Gauss-Markov random fields models
5. Incorporated of anatomical MR data for improved functional imaging with PET
6. Bayesian image reconstruction in SPECT using high-order mechanical models as priors
7. On the hierarchical Bayesian approach to image restoration. Applications to astronomical images
8. Recent developments in iterative image reconstruction for PET and SPECT
9. A generalized Gaussian image model for edge-preserving MAP estimation
10. Hyper-parameter estimation for emission computed tomography data