IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast surface tracking in three-dimensional binary images
Computer Vision, Graphics, and Image Processing
A Multiresolution Hierarchical Approach to Image Segmentation Based on Intensity Extrema
IEEE Transactions on Pattern Analysis and Machine Intelligence
Difference formulas for the surface Laplacian on a triangulated surface
Journal of Computational Physics
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
International Journal of Computer Vision
Free-form shape design using triangulated surfaces
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Journal of Mathematical Imaging and Vision - Special issue on mathematical imaging
Journal of Cognitive Neuroscience
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
A general framework for low level vision
IEEE Transactions on Image Processing
Gyral Parcellation of the Cortical Surface Using Geodesic Voronoï Diagrams
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Brain image analysis using spherical splines
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Coordinate-based versus structural approaches to brain image analysis
Artificial Intelligence in Medicine
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In this paper, we propose a new representation of the cortical surface that may be used to study the cortex folding process and to recover foetus sulcal roots usually burried in the depth of adult brains. This representation is a primal sketch derived from a scale space computed for the mean curvature of the cortical surface. This scale-space stems from a geodesic diffusion equation conditionaly to the cortical surface. The primal sketch is made up of objects defined from mean curvature minima and saddle points. The resulting sketch aims first at highlighting significant elementary folds, second at representing the fold merging process during brain growth. The relevance of the framework is illustrated by the study of central sulcus sulcal roots in antenatal, baby and adult images.