Investigation of optimal parameters for finite element solution of the forward problem in magnetic field tomography based on magnetoencephalography

Abstract

Abstract. This paper presents an investigation of optimal parameters for finite element (FE) solution of the forward problem in magnetic field tomography (MFT) brain imaging based on magnetoencephalography (MEG). It highlights detailed analyses of the main parameters involved and evaluates their optimal values for various cases of FE model solutions (e.g., steady-state, transient, etc.). In each case, a detail study of some of the main parameters and their effects on FE solution and its accuracy are carefully tested and evaluated. These parameters include: total number and size of 3D FE elements used, number and size of elements used in surface discretisation (of both white and grey matters of the brain), number and size of elements used for approximation of current sources, number of anisotropic properties used in steady-state and transient solutions, and the time steps used in transient analyses. The optimal values of these parameters in relation to solution accuracy and mesh convergence criteria have been found and presented.

Mathematical modelling in the analysis and design of hard and soft measurement systems

“…As examples, the above approach was successfully used for mathematical modelling, design and performance evaluation of primary sensors, actuators and devices which comprise measurement sub-systems [53][54][55][56][57][58][59].…”