Parcellation of the Neocortical Surface

Yang F., Kruggel F.

University of California, Irvine

The human brain cortex is a highly convoluted sheet of gray matter comprised of folds (gyri) and fissures (sulci). Sulci serve as important macroscopic landmarks to distinguish different functional areas of the brain. A precise segmentation and labeling of sulci is helpful in brain mapping studies that relate brain structure and function. Due to their structural complexity and inter-subject variability, segmenting sulci is considered as a non-trivial task. An automatic algorithm was developed to accurately segment neocortical sulci: Vertices of a white/grey matter interface mesh are classified under a Bayesian framework as belonging to gyral and sulcal compartments using information about their geodesic depth and local curvature. Then, vertices are collected into sulcal regions by a watershed-like growing method. An example segmentation of sulci on the convexity of the left hemisphere is shown below.


Next, a sulcus identification algorithm was introduced using shape, orientation, location, and neighborhood information. Experimental results demonstrate that the method is efficient and accurate.


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Yang F., Kruggel F. (2008) Automatic Segmentation of Human Brain Sulci. Medical Image Analysis 12, 442-451.

Yang F., Kruggel F. (2009) A Graph Matching Approach for Labeling Brain Sulci Using Location, Orientation, and Shape. Neurocomputing, in print.