2021
DOI: 10.1109/tbme.2020.3021359
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Electroencephalographic Source Reconstruction by the Finite-Element Approximation of the Elliptic Cauchy Problem

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Cited by 6 publications
(2 citation statements)
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“…A big number of comparatively effective methods were developed in the neuroimaging area. Recently, several promising approaches based on the solution of the ill-posed Cauchy problems for elliptic PDEs were proposed by various mathematicians [7, 10, 12, 13, 28, 33, 36], including some ML/AI-based methods [41]. One of the further works in the nearest future will be devoted to development of high-accuracy algorithms for reconstruction of the mass MNPs distribution and validation of it in the real MPI/MRX experiments.…”
Section: Discussionmentioning
confidence: 99%
“…A big number of comparatively effective methods were developed in the neuroimaging area. Recently, several promising approaches based on the solution of the ill-posed Cauchy problems for elliptic PDEs were proposed by various mathematicians [7, 10, 12, 13, 28, 33, 36], including some ML/AI-based methods [41]. One of the further works in the nearest future will be devoted to development of high-accuracy algorithms for reconstruction of the mass MNPs distribution and validation of it in the real MPI/MRX experiments.…”
Section: Discussionmentioning
confidence: 99%
“…It involves finding a solution to the Poisson equation inside a domain, given values on a subset of the boundary. Various numerical methods have been developed to tackle this problem, such as the boundary element method [33,34,[40][41][42], finite element method [18,34,[43][44][45], and finite difference method [28,46]. These methods typically rely on mesh-based discretization techniques and have proven to be effective in solving the linear Cauchy problem.…”
Section: Introductionmentioning
confidence: 99%