Uncertainty quantification of TMS simulations considering MRI segmentation errors.

ABSTRACT:

Objective

Transcranial Magnetic Stimulation (TMS) is a non-invasive brain stimulation method that is used to study brain function and conduct neuropsychiatric therapy. Computational methods that are commonly used for electric field (E-field) dosimetry of TMS are limited in accuracy and precision because of possible geometric errors introduced in the generation of head models by segmenting medical images into tissue types. This paper studies E-field prediction fidelity as a function of segmentation accuracy.

Approach

The errors in the segmentation of medical images into tissue types are modeled as geometric uncertainty in the shape of the boundary between tissue types. For each tissue boundary realization, we then use an in-house boundary element method to perform a forward p

SUBMITTER: Zhang H 

PROVIDER: S-EPMC9357859 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature