A Regularized Gauss–Newton Trust Region Approach to Imaging in Diffuse Optical Tomography

DOI10.1137/100798181zbMath1245.65065OpenAlexW1978489724MaRDI QIDQ3116475

Eric De Sturler, Misha E. Kilmer

Publication date: 23 February 2012

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/100798181

zbMATH Keywords

algorithmnumerical resultsnonlinear least squarestrust regionGauss-NewtonLevenberg-Marquardtdiffuse optical tomographyimaging problemslinear and nonlinear forward modelparametric image modeling

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Applications of mathematical programming (90C90) Nonlinear programming (90C30) Interior-point methods (90C51) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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