2021
DOI: 10.1016/j.neuroimage.2021.118097
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Rapid computation of TMS-induced E-fields using a dipole-based magnetic stimulation profile approach

Abstract: Background: TMS neuronavigation with on-line display of the induced electric field (E-field) has the potential to improve quantitative targeting and dosing of stimulation, but present commercially available solutions are limited by simplified approximations. Objective: Developing a near real-time method for accurate approximation of TMS induced E-fields with subject-specific high-resolution surface-based head models that can be utilized for TMS navigation. … Show more

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Cited by 26 publications
(30 citation statements)
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“…More recently, a fast computational algorithm was introduced in [45] to estimate Efield in a selected ROI so that the E-fields generated by coils placed at 5900 different scalp positions and 360 orientation per position can be computed under 15 minutes. In [46], a rapid algorithm was introduced to compute E-field in~100 ms on a cortical surface mesh with 120k facets and with about 5 hours of preparation time. Compared to these methods, the merits of our DNN-based method lie in the simplification in data preprocessing since it does not need mesh models and the acceleration in whole-brain E-field volume prediction.…”
Section: On Prediction Speedmentioning
confidence: 99%
“…More recently, a fast computational algorithm was introduced in [45] to estimate Efield in a selected ROI so that the E-fields generated by coils placed at 5900 different scalp positions and 360 orientation per position can be computed under 15 minutes. In [46], a rapid algorithm was introduced to compute E-field in~100 ms on a cortical surface mesh with 120k facets and with about 5 hours of preparation time. Compared to these methods, the merits of our DNN-based method lie in the simplification in data preprocessing since it does not need mesh models and the acceleration in whole-brain E-field volume prediction.…”
Section: On Prediction Speedmentioning
confidence: 99%
“…Powerful mathematical tools have recently been developed and implemented ( Gomez et al, 2021 , Daneshzand et al, 2021 ) for fast computations of the TMS-IP solutions via the auxiliary dipole method (ADM) or the magnetic stimulation profile approach, for determining the optimum coil position and orientation. The goal of the present study is not to compete with these tools but rather to evaluate the usefulness and degree of improvement of the TMS-IP solution itself.…”
Section: Discussionmentioning
confidence: 99%
“…From the practical point of view, the solution of a particular TMS-IP will likely be best accomplished by using specialized highly efficient algorithms such as ( Gomez et al, 2021 , Daneshzand et al, 2021 ) instead of the straightforward yet slow approach of this study.…”
Section: Discussionmentioning
confidence: 99%
“…Our method is designed as a general-purpose method for the computation of E-field, and it could obtain the E-field for a new subject (whole head model with 208×288×304 voxels at a spatial resolution of 0.8×0.8×0.8 mm 3 ) in about 1.47 seconds. Several alternative fast E-field computation methods have been developed (Daneshzand et al, 2021;Stenroos and Koponen, 2019). Particularly, a magnetic stimulation profile for each subject needs to be computed in advance (Daneshzand et al, 2021) (3) and replacing the scalar conductivity with anisotropic conductivity tensor properly as the network input.…”
Section: Discussionmentioning
confidence: 99%
“…Several alternative fast E-field computation methods have been developed (Daneshzand et al, 2021;Stenroos and Koponen, 2019). Particularly, a magnetic stimulation profile for each subject needs to be computed in advance (Daneshzand et al, 2021) (3) and replacing the scalar conductivity with anisotropic conductivity tensor properly as the network input.…”
Section: Discussionmentioning
confidence: 99%