title: EIT image regularization by a new Multi-Objective Simulated Annealing algorithm.
abstract: Multi-Objective Optimization can be used to produce regularized Electrical Impedance Tomography (EIT) images where the weight of the regularization term is not known a priori. This paper proposes a novel Multi-Objective Optimization algorithm based on Simulated Annealing tailored for EIT image reconstruction. Images are reconstructed from experimental data and compared with images from other Multi and Single Objective optimization methods. A significant performance enhancement from traditional techniques can be inferred from the results.
authors.forename: Thiago
authors.initials: T
authors.lastname: Castro Martins
authors.forename: Marcos
authors.initials: M
authors.lastname: Sales Guerra Tsuzuki
mesh_terms: D000465:Algorithms; D017097:Electric Impedance; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D014054:Tomography / Q000379:methods