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Table 2 Summary of the image processing procedures using BMAP/Volstat and BET/Sienax.

From: Parallel imaging: is GRAPPA a useful acquisition tool for MR imaging intended for volumetric brain analysis?

  BMAP/Volstat (In-house) BET/Sienax (FSL)
Original images T1 MPRAGE T1 MPRAGE and T2 SPACE
Process Registration to reference brain
(9 parameter)
Registration to reference brain
(12 parameter)
Output T1 in standard space T1 and T2 in standard space
Process Brain masking using BMAP
(cortical CSF (ICV) contour based on T1)
(stepwise region growing algorithm)
Brain masking using BET
(cortical CSF (ICV) contour based on T2)
(brain contour fitting algorithm)
Output T1 brain (ICV) T1 brain (ICV)
Process Tissue segmentation (Volstat – Fuzzy c-means cluster analysis) Tissue segmentation (Sienax- Random Markov Fields)
Final output Grey-, white- and CSF-cluster images Grey-, white- and CSF-cluster images
  1. The key image processing steps are outlined for registration to standard space, masking of non intra-cranial volume (ICV) tissue and tissue segmentation.