Papers on electrical impedance tomography

1. J. Toivanen, A. Paldanius, B. Dekdouk, V. Candiani, A. Hänninen, T. Savolainen, D. Strbian, N. Forss, N. Hyvönen, J. Hyttinen, and V. Kolehmainen, An algorithm for detection and monitoring of intracerebral hemorrhages using EIT, submitted.
2. H. Garde and N. Hyvönen, Reconstruction of singular and degenerate inclusions in Calderon's problem, Inverse Problems and Imaging, 16, 1219-1227 (2022).
3. H. Garde and N. Hyvönen, Series reversion in Calderon's problem, Mathematics of Computation, 91, 1925-1953 (2022).
4. J. Dardé, N. Hyvönen, T. Kuutela, and T. Valkonen, Contact adapting electrode model for electrical impedance tomography, SIAM Journal on Applied Mathematics, 82, 427-449 (2022).
5. V. Candiani, N. Hyvönen, J. Kaipio, and V. Kolehmainen, Approximation error method for imaging the human head by electrical impedance tomography, Inverse Problems, 37, 125008 (2021).
6. H. Garde and N. Hyvönen, Mimicking relative continuum measurements by electrode data in two-dimensional electrical impedance tomography, Numerische Mathematik, 147, 579-609 (2021).
7. V. Candiani, J. Dardé, H. Garde, and N. Hyvönen, Monotonicity-based reconstruction of extreme inclusions in electrical impedance tomography, SIAM Journal on Mathematical Analysis, 52, 6234-6259 (2020).
8. H. Garde, N. Hyvönen, and T. Kuutela, On regularity of the logarithmic forward map of electrical impedance tomography, SIAM Journal on Mathematical Analysis, 52, 197-220 (2020).
9. H. Garde and N. Hyvönen, Optimal depth-dependent distinguishability bounds for electrical impedance tomography in arbitrary dimension, SIAM Journal on Applied Mathematics, 80, 20-43 (2020).
10. V. Candiani, A. Hannukainen, and N. Hyvönen, Computational framework for applying electrical impedance tomography to head imaging, SIAM Journal on Scientific Computing, 41, B1034-B1060 (2019).
11. N. Hyvönen and L. Mustonen, Generalized linearization techniques in electrical impedance tomography, Numerische Mathematik, 140, 95-120 (2018).
12. N. Hyvönen, L. Päivärinta, and J. Tamminen, Enhancing D-bar reconstructions for electrical impedance tomography with conformal maps, Inverse Problems and Imaging, 12, 373-400 (2018).
13. N. Hyvönen and L. Mustonen, Smoothened complete electrode model, SIAM Journal on Applied Mathematics, 77, 2250-2271 (2017).
14. A. Barth, B. Harrach, N. Hyvönen, and L. Mustonen, Detecting stochastic inclusions in electrical impedance tomography, Inverse Problems, 33, 115012 (2017).
15. N. Hyvönen, H. Majander, and S. Staboulis, Compensation for geometric modeling errors by positioning of electrodes in electrical impedance tomography, Inverse Problems, 33, 035006 (2017).
16. N. Hyvönen, V. Kaarnioja, L. Mustonen, and S. Staboulis, Polynomial collocation for handling an inaccurately known measurement configuration in electrical impedance tomography, SIAM Journal on Applied Mathematics, 77, 202-223 (2017).
17. N. Hyvönen and M. Leinonen, Stochastic Galerkin finite element method with local conductivity basis for electrical impedance tomography, SIAM/ASA Journal on Uncertainty Quantification, 3, 998-1019 (2015).

18. L. Chesnel, N. Hyvönen, and S. Staboulis, Construction of invisible conductivity perturbations for the point electrode model in electrical impedance tomography, SIAM Journal on Applied Mathematics, 75, 2093-2109 (2015).
19. L. Harhanen, N. Hyvönen, H. Majander, and S. Staboulis, Edge-enhancing reconstruction algorithm for three-dimensional electrical impedance tomography, SIAM Journal on Scientific Computing, 37, B60-B78 (2015).
20. N. Hyvönen, A. Seppänen, and S. Staboulis, Optimizing electrode positions in electrical impedance tomography, SIAM Journal on Applied Mathematics, 74, 1831-1851 (2014).
21. H. Hakula, and N. Hyvönen and M. Leinonen, Reconstruction algorithm based on stochastic Galerkin finite element method for electrical impedance tomography, Inverse Problems, 30, 065006 (2014).
22. M. Leinonen, H. Hakula, and N. Hyvönen, Application of stochastic Galerkin FEM to the complete electrode model of electrical impedance tomography, Journal of Computational Physics, 269, 181-200 (2014).
23. J. Dardé, N. Hyvönen, A. Seppänen, and S. Staboulis, Simultaneous recovery of admittivity and body shape in electrical impedance tomography: An experimental evaluation, Inverse Problems, 29, 085004 (2013).
24. J. Dardé, N. Hyvönen, A. Seppänen, and S. Staboulis, Simultaneous reconstruction of outer boundary shape and admittivity distribution in electrical impedance tomography, SIAM Journal on Imaging Sciences, 6, 176-198 (2013).
25. N. Hyvönen and O. Seiskari, Detection of multiple inclusions from sweep data of electrical impedance tomography, Inverse Problems, 28, 095014 (2012).
26. J. Dardé, H. Hakula, N. Hyvönen, and S. Staboulis, Fine-tuning electrode information in electrical impedance tomography, Inverse Problems and Imaging, 6, 399-421 (2012).
27. H. Hakula, N. Hyvönen, and T. Tuominen, On hp-adaptive solution of complete electrode model forward problems of electrical impedance tomography, Journal of Computational and Applied Mathematics, 236, 4645-4659 (2012).
28. M. Hanke, L. Harhanen, N. Hyvönen, and E. Schweickert, Convex source support in three dimensions, BIT Numerical Mathematics, 52, 45-63 (2012).
29. R. Griesmaier and N. Hyvönen, A regularized Newton method for locating thin tubular conductivity inhomogeneities, Inverse Problems, 27, 115008 (2011).
30. H. Hakula, L. Harhanen, and N. Hyvönen, Sweep data of electrical impedance tomography, Inverse Problems, 27, 115006 (2011).
31. M. Hanke, B. Harrach, and N. Hyvönen, Justification of point electrode models in electrical impedance tomography, Mathematical Models and Methods in Applied Sciences, 21, 1395-1413 (2011).
32. M. Hanke, N. Hyvönen, and S. Reusswig, Convex backscattering support in electric impedance tomography, Numerische Mathematik, 117, 373-396 (2011).
33. L. Harhanen and N. Hyvönen, Convex source support in half-plane, Inverse Problems and Imaging, 4, 429-448 (2010).
34. N. Hyvönen, K. Karhunen, and A. Seppänen, Frechet derivative with respect to the shape of an internal electrode in electrical impedance tomography, SIAM Journal on Applied Mathematics, 70, 1878-1898 (2010).
35. M. Hanke, N. Hyvönen, and S. Reusswig, An inverse backscatter problem for electric impedance tomography, SIAM Journal on Mathematical Analysis, 41, 1948-1966
36. N. Hyvönen, Comparison of idealized and electrode Dirichlet-to-Neumann maps in electric impedance tomography with an application to boundary determination of conductivity, Inverse Problems, 25, 085008 (2009).
37. N. Hyvönen, Approximating idealized boundary data of electric impedance tomography by electrode measurements, Mathematical Models and Methods in Applied Sciences, 19, (2009).
38. H. Hakula and N. Hyvönen, On computation of test dipoles for factorization method, BIT Numerical Mathematics, 49, 75-91 (2009).
39. M. Hanke, N. Hyvönen, and S. Reusswig, Convex source support and its application to electric impedance tomography, SIAM Journal on Imaging Sciences, 1, 364-378 (2008).
40. H. Hakula and N. Hyvönen, Two noniterative algorithms for locating inclusions using one electrode measurement of electric impedance tomography, Inverse Problems, 24, 055018 (2008).
41. A. Lechleiter, N. Hyvönen, and H. Hakula, The factorization method applied to the complete electrode model of impedance tomography, SIAM Journal on Applied Mathematics, 68, 1097-1121 (2008).
42. B. Gebauer and N. Hyvönen, Factorization method and irregular inclusions in electrical impedance tomography, Inverse Problems 23, 2159-2170 (2007).
43. N. Hyvönen, Application of the factorization method to the characterization of weak inclusions in electrical impedance tomography, Advances in Applied Mathematics 39, 197-221 (2007).
44. N. Hyvönen, H. Hakula, and S. Pursiainen, Numerical implementation of the factorization method within the complete electrode model of electrical impedance tomography, Inverse Problems and Imaging 1, 299-317 (2007).
45. N. Hyvönen, Complete electrode model of electrical impedance tomography: Approximation properties and characterization of inclusions, SIAM Journal on Applied Mathematics 64, 902-931 (2004).