activity
20182020
most citedMagnetic-field modeling with surface currents: Physical and computational principles of bfieldtools

55 citations · 125 across the 5 of their papers we have counts for

collaborators

7 papers

physics.med-ph20207 cited

Spatial sampling of MEG and EEG revisited: From spatial-frequency spectra to model-informed sampling

Joonas Iivanainen, Antti J. Mäkinen, Rasmus Zetter +3

In this paper, we analyze spatial sampling of electro- (EEG) magnetoencephalography (MEG), where the electric or magnetic field is typically sampled on a curved surface such as the…

physics.comp-ph202055 cited

Magnetic-field modeling with surface currents: Physical and computational principles of bfieldtools

Antti J. Mäkinen, Rasmus Zetter, Joonas Iivanainen +3

Surface currents provide a general way to model static magnetic fields in source-free volumes. To facilitate the use of surface currents in magneto-quasistatic problems, we have im…

physics.comp-ph202046 cited

Magnetic-field modeling with surface currents: Implementation and usage of bfieldtools

Rasmus Zetter, Antti J. Mäkinen, Joonas Iivanainen +3

We present a novel open-source Python software package, bfieldtools, for magneto-quasistatic calculations with current densities on surfaces of arbitrary shape. The core functional…

physics.med-ph2020

Evaluating the Performance of Ultra-Low-Field MRI for In-vivo 3D Current Density Imaging of the Human Head

Peter Hömmen, Antti J. Mäkinen, Alexander Hunold +5

Magnetic fields associated with currents flowing in tissue can be measured non-invasively by means of zero-field-encoded ultra-low-field magnetic resonance imaging (ULF MRI) enabli…

physics.med-ph20194 cited

Sampling theory for spatial field sensing: Application to electro- and magnetoencephalography

Joonas Iivanainen, Antti Mäkinen, Rasmus Zetter +3

We present a theoretical framework for analyzing spatial sampling of fields in three-dimensional space. The framework bridges Shannon's sampling and information theory to Bayesian…

physics.med-ph201913 cited

Automatic Spatial Calibration of Ultra-Low-Field MRI for High-Accuracy Hybrid MEG--MRI

Antti J. Mäkinen, Koos C. J. Zevenhoven, Risto J. Ilmoniemi

With a hybrid MEG--MRI device that uses the same sensors for both modalities, the co-registration of MRI and MEG data can be replaced by an automatic calibration step. Based on the…