Optical diffraction tomography within a variational Bayesian framework

DOI10.1080/17415977.2011.624620zbMath1241.78017OpenAlexW1991950259MaRDI QIDQ2884929

Hacheme Ayasso, Ali Mohammad-Djafari, Bernard Duchêne

Publication date: 18 May 2012

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2011.624620

zbMATH Keywords

Bayesian inferencevariational Bayesian approachhierarchical Markovian prior modelsnonlinear inverse scattering problemoptical diffraction tomography

Mathematics Subject Classification ID

Sensitivity, stability, parametric optimization (90C31) Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46) Optimization problems in optics and electromagnetic theory (78M50) Method of moments applied to problems in optics and electromagnetic theory (78M05)

Related Items

Edge-promoting reconstruction of absorption and diffusivity in optical tomography

Cites Work

• Markov chains for exploring posterior distributions. (With discussion)
• An introduction to variational methods for graphical models
• Microwave imaging of inhomogeneous objects made of a finite number of dielectric and conductive materials from experimental data
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Accurate Approximations for Posterior Moments and Marginal Densities
• Super-resolution in diffraction tomography
• Optical tomography in medical imaging
• A contrast source inversion method
• Modified gradient approach to inverse scattering for binary objects in stratified media
• A Variational Approach for Bayesian Blind Image Deconvolution
• Joint NDT Image Restoration and Segmentation Using Gauss–Markov–Potts Prior Models and Variational Bayesian Computation
• The Method of Moments in Electromagnetics
• On Information and Sufficiency