Approximation error method for imaging the human head by electrical impedance tomography*
DOI10.1088/1361-6420/ac346aOpenAlexW3209261920MaRDI QIDQ5014479
Valentina Candiani, Nuutti Hyvönen, Ville Kolehmainen, Jari P. Kaipio
Publication date: 8 December 2021
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2106.06238
total variationelectrical impedance tomographyinverse boundary value problemBayesian inversionapproximation error methodlagged diffusivity
Numerical linear algebra (65Fxx) Numerical methods for partial differential equations, boundary value problems (65Nxx) Numerical analysis (65-XX) Miscellaneous topics in partial differential equations (35Rxx)
Related Items (2)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Nonlinear total variation based noise removal algorithms
- Artificial boundary conditions and domain truncation in electrical impedance tomography. I: Theory and preliminary results
- Artificial boundary conditions and domain truncation in electrical impedance tomography. II: Stochastic extension of the boundary map
- Fine-tuning electrode information in electrical impedance tomography
- Statistical and computational inverse problems.
- Neural networks for classification of strokes in electrical impedance tomography on a 3D head model
- Preconditioned iterative methods for linear discrete ill-posed problems from a Bayesian inversion perspective
- Edge-promoting reconstruction of absorption and diffusivity in optical tomography
- Simultaneous Reconstruction of Outer Boundary Shape and Admittivity Distribution in Electrical Impedance Tomography
- Iterated preconditioned LSQR method for inverse problems on unstructured grids
- Left and right preconditioning for electrical impedance tomography with structural information
- Polynomial Collocation for Handling an Inaccurately Known Measurement Configuration in Electrical Impedance Tomography
- Compensation for geometric modeling errors by positioning of electrodes in electrical impedance tomography
- Posterior covariance related optimal current patterns in electrical impedance tomography
- MARGINALIZATION OF UNINTERESTING DISTRIBUTED PARAMETERS IN INVERSE PROBLEMS APPLICATION TO DIFFUSE OPTICAL TOMOGRAPHY
- RECONSTRUCTION OF DOMAIN BOUNDARY AND CONDUCTIVITY IN ELECTRICAL IMPEDANCE TOMOGRAPHY USING THE APPROXIMATION ERROR APPROACH
- Efficient Inclusion of Total Variation Type Priors in Quantitative Photoacoustic Tomography
- Newton regularizations for impedance tomography: a numerical study
- Hypermodels in the Bayesian imaging framework
- Electrical impedance tomography and Calderón's problem
- LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
- Existence and Uniqueness for Electrode Models for Electric Current Computed Tomography
- Electrical Impedance Tomography
- Electrical impedance tomography with basis constraints
- Statistical inversion and Monte Carlo sampling methods in electrical impedance tomography
- Electrical impedance tomography
- Iterative Methods for Total Variation Denoising
- Computational Framework for Applying Electrical Impedance Tomography to Head Imaging
- Edge-Enhancing Reconstruction Algorithm for Three-Dimensional Electrical Impedance Tomography
- TetGen, a Delaunay-Based Quality Tetrahedral Mesh Generator
- Optimal current patterns in dynamical electrical impedance tomography imaging
- The Inverse Conductivity Problem with an Imperfectly Known Boundary in Three Dimensions
- The Inverse Conductivity Problem with an Imperfectly Known Boundary
- Priorconditioners for linear systems
This page was built for publication: Approximation error method for imaging the human head by electrical impedance tomography*