Image reconstruction using simulated annealing in electrical impedance tomography: a new approach

DOI10.1080/17415977.2017.1361420zbMath1409.92134OpenAlexW2749952394MaRDI QIDQ3121998

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Publication date: 20 March 2019

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

Full work available at URL: https://doi.org/10.1080/17415977.2017.1361420

zbMATH Keywords

inverse problemssimulated annealingcomputational methodsGaussian filterelectrical impedance tomography

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Computational methods for problems pertaining to biology (92-08)

Uses Software

• simannf90

Cites Work

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• Optimization by Simulated Annealing
• Simulated annealing: A tool for operational research
• Composite stock cutting through simulated annealing
• Recovering boundary shape and conductivity in electrical impedance tomography
• An integral equation method for the inverse conductivity problem
• Boundary element method and internal electrodes in electrical impedance tomography
• A boundary-element approach for the complete-electrode model of EIT illustrated using simulated and real data
• Inverse analysis of Navier–Stokes equations using simplex search method
• Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm—Corrigenda for this article is available here
• Equation of State Calculations by Fast Computing Machines
• Inverse Acoustic and Electromagnetic Scattering Theory

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