Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
408808 | Neurocomputing | 2009 | 12 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Faguo Yang, Frithjof Kruggel,