Cortical sulci detection and tracking

Automatic labelling and identification of cerebral structure, like cortical sulci, are useful in neurology, surgery planning, etc… We propose a cortical sulci valley detection. The aim of the method is to achieve the sulci medial surface. The method applied on MRI data, is based on geometrical features (curvature) which doesn´t require the accurate segmentation of the cerebral cortex. We use a sub-voxel precision tracking. The minimum curvature vector in each point allows successive displacement along the valley of sulci. Partial derivatives provide the differential characteristics.