activity
20122026
most citedSimultaneous reconstruction of outer boundary shape and admittivity distribution in electrical impedance tomography

41 citations · 146 across the 38 of their papers we have counts for

collaborators

40 papers

math.AP2026

Reconstruction of shear modulus inclusions in elastostatics via divergence-free localization

Henrik Garde, Nuutti Hyvönen, Valter Pohjola

We formulate an improved version of the monotonicity method for shape reconstruction in the inverse problem of linear elastostatics. We show that this method can reconstruct inclus…

math.NA2026

Direct reconstruction for acoustic inverse Born scattering

Nuutti Hyvönen, Lisa Schätzle

We consider the inverse medium scattering problem for the Helmholtz equation in two dimensions, i.e., the task to recover a compactly supported penetrable two-dimensional scatterer…

math.NA2026

Möbius-transformed trapezoidal rule for polynomial weights

Nuutti Hyvönen, Yuya Suzuki

This work studies numerical integration by the Möbius-transformed trapezoidal rule, which combines the classical trapezoidal rule with a change of variables induced by a Möbius tra…

math.NA2026

A bilinear inverse problem with forward operator inaccuracy applied to neonatal atlas-based diffuse optical tomography

Aada Hakula, Pauliina Hirvi, Nuutti Hyvönen

In this work, we assume to have a set of candidate forward operator matrices and suggest principal component analysis for modeling their variation from the mean. We use this princi…

math.NA2026

Total variation regularization with reduced basis in electrical impedance tomography

A. Hannukainen, N. Hyvönen, V. Toresen

This work considers using reduced basis techniques in connection to (smoothened) total variation regularization in electrical impedance tomography, but analogous ideas can also be…

stat.ML2025

Approximation of differential entropy in Bayesian optimal experimental design

Chuntao Chen, Tapio Helin, Nuutti Hyvönen +1

Bayesian optimal experimental design provides a principled framework for selecting experimental configurations that maximize obtained information. In this work, we consider setting…

math.NA2024

Projection-based preprocessing for electrical impedance tomography to reduce the effect of electrode contacts

Altti Jääskeläinen, Jussi Toivanen, Asko Hänninen +2

This work introduces a method for preprocessing measurements of electrical impedance tomography to considerably reduce the effect uncertainties in the electrode contacts have on th…

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…

math.NA2024

Möbius-Transformed Trapezoidal Rule

Yuya Suzuki, Nuutti Hyvönen, Toni Karvonen

We study numerical integration by combining the trapezoidal rule with a Möbius transformation that maps the unit circle onto the real line. We prove that the resulting transformed…

math.NA2024★ 2 cited

Linearization-based direct reconstruction for EIT using triangular Zernike decompositions

Antti Autio, Henrik Garde, Markus Hirvensalo +1

This work implements and numerically tests the direct reconstruction algorithm introduced in [Garde & Hyvönen, SIAM J. Math. Anal., 2024] for two-dimensional linearized electrical…

math.NA2023

Bayesian experimental design for head imaging by electrical impedance tomography

N. Hyvönen, A. Jääskeläinen, R. Maity +1

This work considers the optimization of electrode positions in head imaging by electrical impedance tomography. The study is motivated by maximizing the sensitivity of electrode me…

math.NA2023

Bayesian experimental design for linear elasticity

Sarah Eberle-Blick, Nuutti Hyvönen

This work considers Bayesian experimental design for the inverse boundary value problem of linear elasticity in a two-dimensional setting. The aim is to optimize the positions of c…

math.NA2023

Bayesian design of measurements for magnetorelaxometry imaging

Tapio Helin, Nuutti Hyvönen, Jarno Maaninen +1

The aim of magnetorelaxometry imaging is to determine the distribution of magnetic nanoparticles inside a subject by measuring the relaxation of the superposition magnetic field ge…

math.AP2022★ 10 cited

Linearised Calderón problem: Reconstruction and Lipschitz stability for infinite-dimensional spaces of unbounded perturbations

Henrik Garde, Nuutti Hyvönen

We investigate a linearised Calderón problem in a two-dimensional bounded simply connected domain . After extending the linearised problem for perturbations,…

math.NA2021★ 1 cited

Approximation error method for imaging the human head by electrical impedance tomography

Valentina Candiani, Nuutti Hyvönen, Jari P. Kaipio +1

This work considers electrical impedance tomography imaging of the human head, with the ultimate goal of locating and classifying a stroke in emergency care. One of the main diffic…

math.AP2021

Series reversion in Calderón's problem

Henrik Garde, Nuutti Hyvönen

This work derives explicit series reversions for the solution of Calderón's problem. The governing elliptic partial differential equation is in a bounded…

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.NA2021★ 9 cited

Electrodeless electrode model for electrical impedance tomography

J. Dardé, N. Hyvönen, T. Kuutela +1

Electrical impedance tomography is an imaging modality for extracting information on the interior structure of a physical body from boundary measurements of current and voltage. Th…

math.NA2020★ 13 cited

Sequentially optimized projections in X-ray imaging

Martin Burger, Andreas Hauptmann, Tapio Helin +2

This work applies Bayesian experimental design to selecting optimal projection geometries in (discretized) parallel beam X-ray tomography assuming the prior and the additive noise…

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★ 10 cited

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★ 4 cited

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★ 9 cited

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…

math.NA2019

Computational framework for applying electrical impedance tomography to head imaging

Valentina Candiani, Antti Hannukainen, Nuutti Hyvönen

This work introduces a computational framework for applying absolute electrical impedance tomography to head imaging without accurate information on the head shape or the electrode…