Representation, display, and manipulation of 3D digital scenes and their medical applications
Computer Vision, Graphics, and Image Processing
Automatic Detection of Brain Contours in MRI Data Sets
IPMI '91 Proceedings of the 12th International Conference on Information Processing in Medical Imaging
Automatic Quantification of Multiple Sclerosis Lesion Volume Using Stereotaxic Space
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
Optimal registration of deformed images
Optimal registration of deformed images
A method for identifying geometrically simple surfaces from three-dimensional images
A method for identifying geometrically simple surfaces from three-dimensional images
Deformable templates using large deformation kinematics
IEEE Transactions on Image Processing
Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
A Hybrid System for the Semantic Annotation of Sulco-Gyral Anatomy in MRI Images
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
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
Automatic trajectory planning of DBS neurosurgery from multi-modal MRI datasets
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Realistic simulated MRI and SPECT databases
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Logarithm odds maps for shape representation
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Shape based segmentation of anatomical structures in magnetic resonance images
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
A new framework for analyzing structural volume changes of longitudinal brain MRI data
STIA'12 Proceedings of the Second international conference on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data
| Hi-index | 0.00 |
An algorithm for improved automatic segmentation of gross anatomical structures of the human brain is presented that merges the output of a tissue classification process with gross anatomical region masks, automatically defined by non-linear registration of a given data set with a probabilistic anatomical atlas. Experiments with 20 real MRI volumes demonstrate that the method is reliable, robust and accurate. Manually and automatically defined labels of specific gyri of the frontal lobe are similar, with a Kappa index of 0.657.