A method for reconstructing label images from a few projections, as motivated by electron microscopy

DOI10.1007/S10479-006-0081-0zbMath1104.92038OpenAlexW3005806513MaRDI QIDQ863601

Hstau Y. Liao, Gabor T. Herman

Publication date: 5 February 2007

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-006-0081-0

zbMATH Keywords

global optimizationsimulated annealingGibbs distributionelectron tomographyfew projections

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of mathematical programming (90C90) Biomedical imaging and signal processing (92C55)

Cites Work

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• Discrete tomography. Foundations, algorithms, and applications
• Automated estimation of the parameters of Gibbs priors to be used in binary tomography
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Efficiency of pseudolikelihood estimation for simple Gaussian fields
• Auxiliary Variable Methods for Markov Chain Monte Carlo with Applications
• Markov Random Fields with Higher-order Interactions
• Monte Carlo sampling methods using Markov chains and their applications
• Speeding up stochastic reconstructions of binary images from limited projection directions

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