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Titolo:
Nonlinear multigrid algorithms for Bayesian optical diffusion tomography
Autore:
Ye, JC; Bouman, CA; Webb, KJ; Millane, RP;
Indirizzi:
Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA Purdue UnivW Lafayette IN USA 47907 Comp Engn, W Lafayette, IN 47907 USA Purdue Univ, Computat Sci & Engn Program, W Lafayette, IN 47907 USA PurdueUniv W Lafayette IN USA 47907 n Program, W Lafayette, IN 47907 USA
Titolo Testata:
IEEE TRANSACTIONS ON IMAGE PROCESSING
fascicolo: 6, volume: 10, anno: 2001,
pagine: 909 - 922
SICI:
1057-7149(200106)10:6<909:NMAFBO>2.0.ZU;2-E
Fonte:
ISI
Lingua:
ENG
Soggetto:
COORDINATE-DESCENT OPTIMIZATION; BORN ITERATIVE METHOD; IMAGE-RECONSTRUCTION; SCATTERING; ABSORPTION; TISSUES; SCHEME;
Keywords:
Bayesian image reconstruction; multiresolution image reconstruction; nonlinear multigrid optimization; optical diffusion tomography;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
43
Recensione:
Indirizzi per estratti:
Indirizzo: Ye, JC Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA Purdue Univ W Lafayette IN USA 47907 gn, W Lafayette, IN 47907 USA
Citazione:
J.C. Ye et al., "Nonlinear multigrid algorithms for Bayesian optical diffusion tomography", IEEE IM PR, 10(6), 2001, pp. 909-922

Abstract

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 effective, but are computationally expensive, especially for three-dimensional (3-D) imaging. This paper presents a general nonlinear multigrid optimization technique suitable for reducing the computational burden in a range of nonquadratic optimization problems. This multigrid method is applied to compute the maximum a posteriori (MAP) estimate of the reconstructed image in the optical diffusion tomography problem. The proposed multigrid approachboth dramatically reduces the required computation and improves the reconstructed image quality.

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Documento generato il 23/01/20 alle ore 03:32:51