Novel Large-Scale 3D Electrical Impedance Tomography Modeling of the Human Head

摘要: With the advent of detailed numerical models, computing runtime can become excessive. We propose facilitation an innovative multi-level inverse-based LU preconditioning approach to improve computational efficiency while processing EIT system matrices. This combines static reordering and scaling, controlled growth inverse triangular factors approximation Schur-complement in a scheme. Comparison with conventional ILU factorization provided increasing acceleration factor up 6 preconditioning, 12 solution for models 12K–503K elements. In addition, new monopolar current sources is introduced. Current sinks are represented by linear combinations compact basis. Only corresponding solutions processed. These serve as basis construction entire excitation pattern. counter-intuitive exploits information content given optimal manner therefore avoids redundant computation.