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. Author manuscript; available in PMC: 2020 May 22.
Published in final edited form as: Neuroimage. 2016 Jan 26;129:1–14. doi: 10.1016/j.neuroimage.2016.01.038

Table 4.

Comparison of results obtained using native volumes derived from label resampling and scaling factor correction.

Native manual segmentation volumes based on resampling of labels (as presented in the article) Native manual segmentation volumes based on calculation of scaling factors

FreeSurfer FSL-FIRST FreeSurfer FSL-FIRST
% volume diff. (SD)
L-hippocampus 60.38 (13.04) 27.61(14.49) 60.16 (12.90) 27.43 (14.28)
R-hippocampus 51.53 (13.17) 28.39 (13.07) 51.41 (13.09) 28.28 (12.89)
L-amygdala 100.29 (24.56) 50.32 (27.65) 99.53 (24.27) 49.76 (27.55)
R-amygdala 93.56 (25.78) 40.29 (26.09) 93.11 (24.56) 40.03 (25.83)

PCC with manual seg.
L-hippocampus 0.77 0.51 0.77 0.52
R-hippocampus 0.69 0.59 0.70 0.60
L-amygdala 0.67 0.31 0.66 0.30
R-amygdala 0.61 0.35 0.62 0.35

ICC with manual seg.
L-hippocampus 0.74 0.51 0.74 0.52
R-hippocampus 0.68 0.59 0.69 0.60
L-amygdala 0.65 0.30 0.64 0.28
R-amygdala 0.60 0.33 0.61 0.33

Percentage of volume difference (% volume diff.), Pearson correlation coefficients (PCC) and intraclass correlation coefficients (ICC) computed between manual segmentation volumes and automatic protocols. Results are presented with native manual segmentation volumes obtained by resampling labels in the native space using an inversion of the linear transformation (left column) and with manual volumes obtained by dividing volumes segmented in the standard space by scale factors associated with the linear transformation in the x,y,z directions (right column). This table shows that both methods of estimating manual segmentation volumes in the native space lead to highly similar results. L — left. R — right. SD— standard deviation.

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