Segmentation of Brain MRI Using SOM-FCM-Based Method and 3D Statistical Descriptors

Algorithm 1

SOM-FCM segmentation algorithm for 3D MRI.

(1) Remove the background (i.e. null intensity voxels).

(2) Extract overlapping cubes from 3D MRI.

(3) Compute features from the cubes.

(4) Normalize the samples for zero mean and unity variance.

(5) Train the SOM.

(6) Cluster the SOM prototypes using the FCM algorithm.

(7) Compute the mean intensity of the receptive field of each cluster.

(8) Assign a tissue to each cluster depending on its intensity profile.

(9) Build the segmented image using the receptive fields of each cluster.