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Figure 2 | BMC Bioinformatics

Figure 2

From: Automatic segmentation of deep intracerebral electrodes in computed tomography scans

Figure 2

Results of the DEETO algorithm on complex scenarios. (a) The figure shows the accuracy of the reconstructed implant. The complexity of SEEG implants is well represented in the figure where it can be easily seen the high number of electrodes used, their direction, and their proximity to each others. Moreover, we superimposed pial surfaces (green - left and red - right) extracted from the MRI previously coregistered to CT space. Original electrode surface models extracted from patient CT (shaded gray) are overlayed by segmented contacts (red cylinder) with their real dimensions (i.e., each cylinder is 2 mm long, 0.8 mm diameter and inter-contact distance is 1.5 mm). (b) The proposed implementation is robust to target point displacements. Target displacements (left plot) up to 12 mm from planned site result in an average error of 0.005 mm (blue line). The number of False Positive (FP; central plot) and False Negative (FN; right plot) divided by the total number of real contacts increase with target point displacements but remained below 10% for distances up to 13 mm. Shaded area in all plots indicate the interval between the 95th and the 5th percentiles extracted from 28 subjects and 5 samples for each distance (see methods for details).

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