Fig 1.
(A) Example of the acquired T1 weighted MP-RAGE and MP2RAGE images from one of the study participants. (B) Brain extraction before tissue segmentation. (C) Illustration of the tissue probability maps achieved by the used segmentation tools.
Table 1.
Acquisition parameters of magnetization prepared- rapid acquisition gradient echo (MP-RAGE) and MP2RAGE sequences.
Fig 2.
Scatter plots demonstrating GM (blue), WM (red), and CSF (green) volumes measured by the different segmentation tools based on MP-RAGE and MP2RAGE sequences. Points above the identity line (dashed) indicates higher volumes were calculated in MP-RAGE vs. MP2RAGE, while points below the line indicate higher values based on. MP2RAGE vs. MPRAGE.
Table 2.
Whole-brain GM, WM, and CSF volumes obtained from the segmentation of MP-RAGE and MP2RAGE images using the different automatic segmentation tools.
Fig 3.
(A) Voxel-wise grey matter (GM) and white matter (WM) tissue probabilities differences when comparing MP-RAGE vs. MP2RAGE sequences based on tissue probability maps obtained by CAT12, FSL-FAST, and volBrain (pFWE < 0.05).
Table 3.
Measured deep grey matter (DGM) structures volumes using the different segmentation tools based on MP-RAGE and MP2RAGE images.
Fig 4.
Sub-study VBM results of inter-modality differences in grey matter (GM) and white matter (WM) tissue probabilities differences based on tissue probability maps obtained by CAT12, FSL-FAST, and volBrain.
Table 4.
Test-re-test of the mean percentage of overtime change and Cronbach’s α in whole-brain GM and WM, as well as deep grey matter (DGM) volumes assessed using the different automatic tools based on MP-RAGE and MP2RAGE.