The 3D-CSC is a general segmentation method for voxel images. One of its possible applications is the segmentation
of MR images of the human head. We here propose a self-contained method consisting of preprocessing
steps which remove common artifacts from the input image, a 3D-CSC segmentation which partitions the input
image into gray value similar, spatially connected regions and a final classification of CSC segments into white
matter, gray matter and non-brain. We evaluate our method using the brainweb dataset for which a ground
truth is available.
The 2D segmentation method CSC (Color Structure Code) for color
images has recently been generalized to 3D color or grey valued
images. To apply this technique for an automated analysis of 3D MR
brain images a few preprocessing and postprocessing steps have
been added. We present this new brain analysis technique and
compare it with SPM.