SPECT IMAGE RECONSTRUCTION USING COMPOUND PRIOR MODELS. LÓPEZ, A., MOLINA, R., MATEOS, J., & KATSAGGELOS, A. K. International Journal of Pattern Recognition and Artificial Intelligence, 16(03):317–330, may, 2002. Paper doi abstract bibtex We propose a new iterative method for Maximum a Posteriori (MAP) reconstruction of SPECT (Single Photon Emission Computed Tomography) images. The method uses Compound Gauss Markov Random Fields (CGMRF) as prior model and is stochastic for the line process and deterministic for the reconstruction. Synthetic and real images are used to compare the new method with existing ones.
@article{Antonio2002,
abstract = {We propose a new iterative method for Maximum a Posteriori (MAP) reconstruction of SPECT (Single Photon Emission Computed Tomography) images. The method uses Compound Gauss Markov Random Fields (CGMRF) as prior model and is stochastic for the line process and deterministic for the reconstruction. Synthetic and real images are used to compare the new method with existing ones.},
author = {L{\'{O}}PEZ, ANTONIO and MOLINA, RAFAEL and MATEOS, JAVIER and KATSAGGELOS, AGGELOS K.},
doi = {10.1142/S0218001402001708},
issn = {0218-0014},
journal = {International Journal of Pattern Recognition and Artificial Intelligence},
keywords = {Bayesian reconstruction,Compound Gauss Markov random fields,Deterministic image reconstruction,SPECT imaging,Simulated annealing},
month = {may},
number = {03},
pages = {317--330},
title = {{SPECT IMAGE RECONSTRUCTION USING COMPOUND PRIOR MODELS}},
url = {https://www.worldscientific.com/doi/abs/10.1142/S0218001402001708},
volume = {16},
year = {2002}
}
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