Fast multigrid-based computation of the induced electric field for transcranial magnetic stimulation

• Published in: Physics in medicine & biology Vol. 57; no. 23; p. 7753
• Main Authors: Laakso, Ilkka, Hirata, Akimasa
• Format: Journal Article
• Language: English
• Published: England 07-12-2012
• Subjects: Electricity; Female; Finite Element Analysis; Humans; Male; Models, Anatomic; Time Factors; Transcranial Magnetic Stimulation - methods
• ISSN: 1361-6560
• DOI: 10.1088/0031-9155/57/23/7753

In transcranial magnetic stimulation (TMS), the distribution of the induced electric field, and the affected brain areas, depends on the position of the stimulation coil and the individual geometry of the head and brain. The distribution of the induced electric field in realistic anatomies can be modelled using computational methods. However, existing computational methods for accurately determining the induced electric field in realistic anatomical models have suffered from long computation times, typically in the range of tens of minutes or longer. This paper presents a matrix-free implementation of the finite-element method with a geometric multigrid method that can potentially reduce the computation time to several seconds or less even when using an ordinary computer. The performance of the method is studied by computing the induced electric field in two anatomically realistic models. An idealized two-loop coil is used as the stimulating coil. Multiple computational grid resolutions ranging from 2 to 0.25 mm are used. The results show that, for macroscopic modelling of the electric field in an anatomically realistic model, computational grid resolutions of 1 mm or 2 mm appear to provide good numerical accuracy compared to higher resolutions. The multigrid iteration typically converges in less than ten iterations independent of the grid resolution. Even without parallelization, each iteration takes about 1.0 s or 0.1 s for the 1 and 2 mm resolutions, respectively. This suggests that calculating the electric field with sufficient accuracy in real time is feasible.