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. Author manuscript; available in PMC: 2020 Jul 30.
Published in final edited form as: J Neural Eng. 2019 Jul 30;16(5):056006. doi: 10.1088/1741-2552/ab208d

Figure 1.

Figure 1.

Candidate pipelines for building a current-flow model of the head. The input is the MRI of an individual, and the output of each pipeline is the predicted electric field distribution. The different pipelines we are evaluating are ROAST, with its variants (ROAST-sg, ROAST-sa, ROAST-gg), three different segmentation options in SimNIBS (SimNIBS-hr, SimNIBS-hrE and SimNIBS-mm), and the approach published in Huang et al (2017). Data from different methods at different stages in these pipelines are used for comparison, as indicated by the black dots on the dashed vertical lines: figure 3/table 1—comparing segmentation; figure 4—comparing electric field distribution; figure 6(A)—validating each pipeline using actual recordings.