Method and implementation for segmentation of sulci and gyri on cross-section images based on 3D brain model

Objective: To realize the segmentation of sulci and gyri on cross-section images based on 3D human brain model. Methods: The outline of a sulcus or gyrus on 3D model was drawn initially and then mapped into the related regions in the cross-section images. This was followed by filling the region in a certain color to complete the segmentation. Accordingly, a platform for sulci and gyri segmentation in this way was built up with Visual C++ 6.0 and Visualization Tool Kit. Results: The right precentral gyrus and right postcentral gyrus were segmented accurately and effectively in the serial cross-section images. Conclusion: The proposed method provides a simple and feasible means for acquiring complete and consecutive atlas of cross-sectional anatomy of sulci and gyri. It is of great significance in enriching the digital brain atlases and advancing the investigations of brain functions, as well as in diagnosis of brain diseases.