Segmentation of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) is an important tool for brain MRI research. A few challenges remain for the segmentation such as the image intensity non-uniformity induced by B1 field inhomogeneity, suboptimal data acquisition protocols and long processing time. We propose a fast automatic method which combines the data acquisition with segmentation and is insensitive to B1 field inhomogeneity using MP2RAGE. The proposed method has high accuracy and superior performance for the segmentation of subcortical gray matter and is applicable for a wide age range.
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