A graph matching approach for labeling brain sulci using location, orientation, and shape

Authors:
Faguo Yang;Frithjof Kruggel
Affiliations:
Signal and Image Processing Lab, Department of Biomedical Engineering, University of California, Irvine, USA;Signal and Image Processing Lab, Department of Biomedical Engineering, University of California, Irvine, USA
Venue:
Neurocomputing
Year:
2009

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Abstract

The human brain cortex is a highly convoluted sheet of gray matter composed of folds (gyri) and fissures (sulci). Sulci serve as important macroscopic landmarks to distinguish different functional areas of the brain. The exact segmentation and identification of sulci is critical for human brain mapping studies that aim at finding correspondences between structures and their function. In this paper, a sulcus identification algorithm is introduced using shape, orientation, location, and neighborhood information. Experimental results demonstrate that the method is efficient and accurate.