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

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.

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