This paper presents the application of a
self-organizing map (SOM) model for the reconstruction of
cerebral cortex from MRI images. The cerebral cortex is an
important tissue for many brain science or medicine related
researches. Since it is difficult to extract the highly folded and
buried cortical surface, we apply the SOM model to deform the
easily extracted white matter surface on a layered distance map
to obtain the cortical surface. The layered distance map is
calculated according to the extracted white matter surface and
segmented gray matter. The proposed method can reconstruct
the proper cortical surface and thus make the measurement of
cortical thickness easy. The simulations on T1-weighted MRI
images show that the proposed algorithm is robust to
reconstruct the cerebral cortex.
Relation:
International Journal of Computational Intelligence Research
