Optimization-Based Approach for Joint X-Ray Fluorescence and Transmission Tomographic Inversion

DOI10.1137/15M1021404zbMath1381.94015OpenAlexW2227107777MaRDI QIDQ2797770

Stefan M. Wild, Sven Leyffer, Zichao (Wendy) Di

Publication date: 31 March 2016

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/15m1021404

zbMATH Keywords

nonlinear optimizationtomographic reconstructiontruncated-Newton methodX-ray fluorescencejoint inversionX-ray transmission

Mathematics Subject Classification ID

Nonlinear programming (90C30) Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Inverse problems in optimal control (49N45)

Related Items

On Double-Resolution Imaging and Discrete Tomography, Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-Based Approach, Bilevel optimization, deep learning and fractional Laplacian regularization with applications in tomography

Uses Software

• tn
• ADiMat
• RecPF

Cites Work

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