Nonlinear multigrid algorithms for Bayesian optical diffusion tomography

Optical diffusion tomography is a technique for imaging a highly scattering medium using measurements of transmitted modulated light. Reconstruction of the spatial distribution of the optical properties of the medium from such data is a difficult nonlinear inverse problem. Bayesian approaches are ef...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 10; H. 6; S. 909 - 922
Hauptverfasser:	Jong Chul Ye, Bouman, C.A., Webb, K.J., Millane, R.P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.06.2001 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Artificial intelligence Bayesian analysis Bayesian methods Computation Computer science; control theory; systems Diffusion Exact sciences and technology Image processing Image reconstruction Imaging Information, signal and communications theory Inverse problems Light scattering Multigrid methods Nonlinear optics Nonlinearity Optical imaging Optical modulation Optical scattering Optimization Pattern recognition. Digital image processing. Computational geometry Signal processing Telecommunications and information theory Tomography Bayes estimation Image processing Multigrid A posteriori estimation Tomography Non linear processing Optical scattering Algorithm Multiresolution analysis Medical application Optimization Image reconstruction
ISSN:	1057-7149, 1941-0042
Online-Zugang:	Volltext
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