Disparity improvement of brain tissues after MRI segmentation in tDCS rehabilitation

Segmentation of brain Magnetic Resonance Imaging (MRI) has a significant role in computational modeling of transcranial Direct Current Stimulation (tDCS); hence, it is important to choose the appropriate method that can be utilized with adequate precision. Some tissues such as Cerebrospinal fluid (CSF) and white matter (WM) usually get damaged after segmentation, because of their low thickness. This defect appears in the form of small cavities on their wall. So, it causes many problems in the modeling and processing of tDCS. The modified automated correction routine compensates the results error adequately. Accordingly, the improved masks make the complete head model without any discontinuities in the CSF and WM surfaces, and the electric field magnitudes after stimulation, illustrate this improvement effectively.