activity
20192024
collaborators

6 papers

math.AP2024

Continuity of the linearized forward map of electrical impedance tomography from square-integrable perturbations to Hilbert-Schmidt operators

Joanna Bisch, Markus Hirvensalo, Nuutti Hyvönen

This work considers the Fréchet derivative of the idealized forward map of two-dimensional electrical impedance tomography, i.e., the linear operator that maps a perturbation of th…

stat.ME2021

Edge-promoting adaptive Bayesian experimental design for X-ray imaging

Tapio Helin, Nuutti Hyvönen, Juha-Pekka Puska

This work considers sequential edge-promoting Bayesian experimental design for (discretized) linear inverse problems, exemplified by X-ray tomography. The process of computing a to…

math.NA2020

Inverse heat source problem and experimental design for determining iron loss distribution

Antti Hannukainen, Nuutti Hyvönen, Lauri Perkkiö

Iron loss determination in the magnetic core of an electrical machine, such as a motor or a transformer, is formulated as an inverse heat source problem. The sensor positions insid…

math.NA2020

Mimicking relative continuum measurements by electrode data in two-dimensional electrical impedance tomography

Henrik Garde, Nuutti Hyvönen

This paper introduces a constructive method for approximating relative continuum measurements in two-dimensional electrical impedance tomography based on data originating from eith…

math.AP2019

Optimal depth-dependent distinguishability bounds for electrical impedance tomography in arbitrary dimension

Henrik Garde, Nuutti Hyvönen

The inverse problem of electrical impedance tomography is severely ill-posed. In particular, the resolution of images produced by impedance tomography deteriorates as the distance…

math.AP2019

On regularity of the logarithmic forward map of electrical impedance tomography

Henrik Garde, Nuutti Hyvönen, Topi Kuutela

This work considers properties of the logarithm of the Neumann-to-Dirichlet boundary map for the conductivity equation in a Lipschitz domain. It is shown that the mapping from the…