A Fast Level Set Method for Propagating Interfaces, Journal of Computational Physics, vol.118, issue.2, pp.269-277, 1995. ,
DOI : 10.1006/jcph.1995.1098
Computational Models of MRI Characteristics of Focal Cortical Dysplasia Improve Lesion Detection, NeuroImage, vol.17, issue.4, pp.1755-60, 2002. ,
DOI : 10.1006/nimg.2002.1312
Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis, NeuroImage, vol.19, issue.4, pp.1748-59, 2003. ,
DOI : 10.1016/S1053-8119(03)00226-X
Neuroimaging of Focal Malformations of Cortical Development, Journal of Clinical Neurophysiology, vol.13, issue.6, pp.481-494, 1996. ,
DOI : 10.1097/00004691-199611000-00003
Classification system for malformations of cortical development: Update 2001, Neurology, vol.57, issue.12, pp.2168-78, 2001. ,
DOI : 10.1212/WNL.57.12.2168
Texture analysis and morphological processing of magnetic resonance imaging assist detection of focal cortical dysplasia in extra-temporal partial epilepsy, Annals of Neurology, vol.7, issue.6, pp.770-775, 2001. ,
DOI : 10.1002/ana.1013
Long-term outcome after epilepsy surgery for focal cortical dysplasia, Journal of Neurosurgery, vol.101, issue.1, pp.55-65, 2004. ,
DOI : 10.3171/jns.2004.101.1.0055
Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space, Journal of Computer Assisted Tomography, vol.18, issue.2, pp.192-205, 1994. ,
DOI : 10.1097/00004728-199403000-00005
Individual voxel-based analysis of gray matter in focal cortical dysplasia, NeuroImage, vol.29, issue.1, 2005. ,
DOI : 10.1016/j.neuroimage.2005.07.021
URL : https://hal.archives-ouvertes.fr/hal-01259130
Segmentation of Focal Cortical Dysplasia Lesions Using a Feature-Based Level Set, Proc. Medical Image Computing and Computer-Assisted Intervention MICCAI 2005, pp.375-382, 2005. ,
DOI : 10.1007/11566465_47
URL : https://hal.archives-ouvertes.fr/inria-00616015
Surgery for Seizures, New England Journal of Medicine, vol.334, issue.10, pp.647-652, 1996. ,
DOI : 10.1056/NEJM199603073341008
Surgical pathologic findings of extratemporal-based intractable epilepsy: a study of 133 consecutive resections, Arch Pathol Lab Med, vol.124, issue.4, pp.545-549, 2000. ,
Level-set evolution with region competition: automatic 3-D segmentation of brain tumors, Object recognition supported by user interaction for service robots, pp.532-535, 2002. ,
DOI : 10.1109/ICPR.2002.1044788
Three-dimensional mapping of cortical thickness using Laplace's Equation, Human Brain Mapping, vol.10, issue.1, pp.12-32, 2000. ,
DOI : 10.1002/1097-0193(200009)11:1<12::AID-HBM20>3.0.CO;2-K
Detection and Localization of Focal Cortical Dysplasia by Voxel-based 3-D MRI???Analysis, Epilepsia, vol.16, issue.6, pp.596-602, 2002. ,
DOI : 10.1046/j.1528-1157.2002.41401.x
Elastic model-based segmentation of 3-D neuroradiological data sets, IEEE Transactions on Medical Imaging, vol.18, issue.10, pp.828-839, 1999. ,
DOI : 10.1109/42.811260
Fast sub-voxel re-initialization of the distance map for level set methods, Pattern Recognition Letters, vol.26, issue.10, pp.1532-1542, 2005. ,
DOI : 10.1016/j.patrec.2004.12.005
Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI, NeuroImage, vol.12, issue.3, pp.340-356, 2000. ,
DOI : 10.1006/nimg.1999.0534
Deformable models in medical image analysis: a survey, Medical Image Analysis, vol.1, issue.2, pp.91-108, 1996. ,
DOI : 10.1016/S1361-8415(96)80007-7
Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations, Journal of Computational Physics, vol.79, issue.1, pp.12-49, 1988. ,
DOI : 10.1016/0021-9991(88)90002-2
Focal neuronal migration disorders and intractable partial epilepsy: A study of 30 patients, Annals of Neurology, vol.22, issue.6, pp.741-750, 1991. ,
DOI : 10.1002/ana.410300602
Terminology and classification of the cortical dysplasias, Neurology, vol.62, issue.Issue 6, Supplement 3, pp.2-8, 2004. ,
DOI : 10.1212/01.WNL.0000114507.30388.7E
Pathologic characteristics of the cortical dysplasias, Neurosurgery Clinics of North America, vol.13, issue.1, pp.17-25, 2002. ,
DOI : 10.1016/S1042-3680(02)80003-1
Level-set methods and fast marching methods, 1999. ,
Measuring Size and Shape of the Hippocampus in MR Images Using a Deformable Shape Model, NeuroImage, vol.15, issue.2, pp.422-434, 2002. ,
DOI : 10.1006/nimg.2001.0987
Surgery for malformations of cortical development causing epilepsy, Brain, vol.123, issue.6, pp.1075-1091, 2000. ,
DOI : 10.1093/brain/123.6.1075
Surgery for focal cortical dysplasia, Brain, vol.127, issue.11, pp.2383-2387, 2004. ,
DOI : 10.1093/brain/awh312
A nonparametric method for automatic correction of intensity nonuniformity in MRI data, IEEE Transactions on Medical Imaging, vol.17, issue.1, pp.87-97, 1998. ,
DOI : 10.1109/42.668698
Fast robust automated brain extraction, Human Brain Mapping, vol.20, issue.3, pp.143-155, 2002. ,
DOI : 10.1002/hbm.10062
Focal cortical dysplasia: neuropathological subtypes, EEG, neuroimaging and surgical outcome, Brain, vol.125, issue.8, pp.1719-1732, 2002. ,
DOI : 10.1093/brain/awf175
Focal dysplasia of the cerebral cortex in epilepsy, Journal of Neurology, Neurosurgery & Psychiatry, vol.34, issue.4, pp.369-387, 1971. ,
DOI : 10.1136/jnnp.34.4.369
Automated detection of gray matter malformations using optimized voxel-based morphometry: a systematic approach, NeuroImage, vol.20, issue.1, pp.330-343, 2003. ,
DOI : 10.1016/S1053-8119(03)00296-9
Snakes, shapes and gradient vector flow, IEEE Trans Image Proc, vol.7, issue.3, pp.359-369, 1998. ,
Segmentation and measurement of the cortex from 3-D MR images using coupled-surfaces propagation, IEEE Transactions on Medical Imaging, vol.18, issue.10, pp.927-964, 1999. ,
DOI : 10.1109/42.811276
Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation, Proceedings of IEEE International Conference on Computer Vision, pp.884-900, 1996. ,
DOI : 10.1109/ICCV.1995.466909
Morphometric analysis of white matter lesions in MR images: method and validation, IEEE Transactions on Medical Imaging, vol.13, issue.4, pp.716-724, 1994. ,
DOI : 10.1109/42.363096
The upper row shows: the T1- weighted MRI where the FCD lesion is indicated by the arrow (A), the cortical thickness map (B), the relative intensity map (C) and the gradient map (D) ,