Detection and identification of Sulci on 3D MRI

Michel Desvignes (1) , Nicolas Royackkers (1) , Houssam Fawal (1) , Marinette Revenu (1)

1 Equipe Image - Laboratoire GREYC - UMR6072

Cross-subject analysis of structural and/or functional images often requires accurate localisation of cortical convolutions (sulci and gyri). This is particularly relevant to better understand the anatomical/functional relationships within the brain and to increase accuracy in neuro-surgical planning. Internal brain structures are easily identified on high resolution MRI, using the Talairach space, thanks to their low variability. Unfortunately, localisation and identification of sulci are very difficult tasks because of the high variability of cortical structures. In this work, we propose an approach for automatic localisation and identification of sulci on MR images.

Domaines: Traitement des images [eess.IV]

Michel Desvignes, Nicolas Royackkers, Houssam Fawal, Marinette Revenu. Detection and identification of Sulci on 3D MRI. HBM'97 Human Brain Mapping, 1997, Copenhague, Denmark. pp.S410. ⟨hal-00963687⟩