Cortical sulci detection and tracking

Christophe Renault (1) , Michel Desvignes (1) , Marinette Revenu (1)

1 Equipe Image - Laboratoire GREYC - UMR6072

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.

Domaines: Traitement des images [eess.IV]

Christophe Renault, Michel Desvignes, Marinette Revenu. Cortical sulci detection and tracking. Proceedings of European Signal Processing Conference (EUSIPCO 2000), Sep 2000, Tampere, Finland. pp.97-100. ⟨hal-00821965⟩