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. Author manuscript; available in PMC: 2014 Jul 28.
Published in final edited form as: Proc SPIE Int Soc Opt Eng. 2011 Feb 12;7962:79621F. doi: 10.1117/12.877466

Figure 1.

Figure 1

(a) A slice of an MR volume obtained from a GE 4T scanner,15 (b) segmentation of the volume into 3 classes—cerebral-spinal fluid (CSF), gray matter (GM) and white matter (WM)—by Fuzzy C means (FCM),16 (c) estimated gain field using a non-parametric non-uniform intensity normalization (N3)12 method, (d) the corresponding inhomogeneity corrected image, (e) FCM16 segmentation of the N3 corrected image. The corrected image is a better representation of the tissues, where the intensities are more homogeneoous. This is reflected in the segmentation improvement in (e) from the gross error in (b).