Journal of Mathematical Imaging and Vision - Special issue on mathematical imaging
Hierarchical Matching of Cortical Features for Deformable Brain Image Registration
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Multisubject Non-rigid Registration of Brain MRI Using Intensity and Geometric Features
MICCAI '01 Proceedings of the 4th 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
DISCO: A Coherent Diffeomorphic Framework for Brain Registration under Exhaustive Sulcal Constraints
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
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In this paper, we study the recognition of about 60 sulcal structures over a new T1 MRI database of 62 subjects. It continues our previous work [7] and more specifically extends the localization model of sulci (SPAM ). This model is sensitive to the chosen common space during the group study. Thus, we focus the current work on refining this space using registration techniques. Nevertheless, we also benefit from the sulcuswise localization variability knowledge to constrain the normalization. So, we propose a consistent Bayesian framework to jointly identify and register sulci, with two complementary normalization techniques and their detailed integration in the model: a global rigid transformation followed by a piecewise rigid-one, sulcus after sulcus. Thereby, we have improved the sulci labeling quality to a global recognition rate of 86%, and moreover obtained a basic but robust registration technique.