3 papers
math-ph2024
Vector tomography for reconstructing electric fields with non-zero divergence in bounded domains
Alexandra Koulouri, Mike Brookes, Ville Rimpilainen
In vector tomography (VT), the aim is to reconstruct an unknown multi-dimensional vector field using line integral data. In the case of a 2-dimensional VT, two types of line integr…
physics.med-ph2017
Prior Variances and Depth Un-Biased Estimators in EEG Focal Source Imaging
Alexandra Koulouri, Ville Rimpiläinen, Mike Brookes +1
In electroencephalography (EEG) source imaging, the inverse source estimates are depth biased in such a way that their maxima are often close to the sensors. This depth bias can be…
physics.med-ph2017
Bayesian Modelling of Skull Conductivity Uncertainties in EEG Source Imaging
Ville Rimpiläinen, Alexandra Koulouri, Felix Lucka +2
Knowing the correct skull conductivity is crucial for the accuracy of EEG source imaging, but unfortunately, its true value, which is inter- and intra-individually varying, is diff…