Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
ANIMAL+INSECT: Improved Cortical Structure Segmentation
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
A Binary Entropy Measure to Assess Nonrigid Registration Algorithms
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Validation of Image Segmentation and Expert Quality with an Expectation-Maximization Algorithm
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Segmentation of 3D Brain Structures Using Level Sets and Dense Registration
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
Model-based three-dimensional medical image segmentation
Model-based three-dimensional medical image segmentation
Statistical models in medical image analysis
Statistical models in medical image analysis
Automatic segmentation of cortical region of the brain from MR images
BioMed'06 Proceedings of the 24th IASTED international conference on Biomedical engineering
MRI tissue classification with neighborhood statistics: a nonparametric, entropy-minimizing approach
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Segmentation of brain MRI in young children
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Probabilistic brain atlas encoding using bayesian inference
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
From spatial regularization to anatomical priors in fMRI analysis
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Analyzing anatomical structures: leveraging multiple sources of knowledge
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
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The paper introduces an algorithm which allows the automatic segmentation of multi channel magnetic resonance images. We extended the Expectation Maximization-Mean Field Approximation Segmenter, to include Local Prior Probability Maps. Thereby our algorithm estimates the bias field in the image while simultaneously assigning voxels to different tissue classes under prior probability maps. The probability maps were aligned to the subject using non-rigid registration. This allowed the parcellation of cortical sub-structures including the superior temporal gyrus. To our knowledge this is the first description of an algorithm capable of automatic cortical parcellation incorporating strong noise reduction and image intensity correction.