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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.
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BMC Medical Imaging

ISSN: 1471-2342

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