Journal of Mathematical Imaging and Vision - Special issue on mathematical imaging
Dynamic Programming Generation of Curves on Brain Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Adaptive-Focus Deformable Model Using Statistical and Geometric Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Matching of Cortical Features for Deformable Brain Image Registration
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
The Use of Active Shape Models for Locating Structures in Medical Images
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
Automatic Detection of Sulcal Bottom Lines in MR Images of the Human Brain
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Using Local Geometry to Build 3D Sulcal Models
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Registration of Cortical Anatomical Structures via Robust 3D Point Matching
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Automatic Retrieval of Anatomical Structures in 3D Medical Images
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
A New Approach to 3D Sulcal Ribbon Finding from MR Images
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Automatic Identification of Cortical Sulci Using a 3D Probabilistic Atlas
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Automated Segmentation of Sulcal Regions
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Watersheds on the Cortical Surface for Automated Sulcal Segmentation
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
Journal of Cognitive Neuroscience
Statistical Modeling of Pairs of Sulci in the Context of Neuroimaging Probabilistic Atlas
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
A Novel Method for Cortical Sulcal Fundi Extraction
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Cortical sulcal atlas construction using a diffeomorphic mapping approach
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Using the fast marching method to extract curves with given global properties
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Brain image analysis using spherical splines
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Robust classification and analysis of anatomical surfaces using 3D skeletons
EG VCBM'08 Proceedings of the First Eurographics conference on Visual Computing for Biomedicine
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A method for building a statistical shape model of sulci of the human brain cortex is described. The model includes sulcal fundi that are defined on a spherical map of the cortex. The sulcal fundi are first extracted in a semi-automatic way using an extension of the fast marching method. They are then transformed to curves on the unit sphere via a conformal mapping method that maps each cortical point to a point on the unit sphere. The curves that represent sulcal fundi are parameterized with piecewise constant-speed parameterizations. Intermediate points on these curves correspond to sulcal landmarks, which are used to build a point distribution model on the unit sphere. Statistical information of local properties of the sulci, such as curvature and depth, are embedded in the model. Experimental results are presented to show how the models are built.