Optimal triangulation and quadric-based surface simplification
Computational Geometry: Theory and Applications - Special issue on multi-resolution modelling and 3D geometry compression
Medical Imaging: Surface Mapping Brain Function on 3D Models
IEEE Computer Graphics and Applications
An Adaptive Fuzzy Segmentation Algorithm for Three-Dimensional Magnetic Resonance Images
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Measuring the Cortical Thickness
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
Coordinate-based versus structural approaches to brain image analysis
Artificial Intelligence in Medicine
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Cytoarchitectonic fields of the human neocortex are defined by characteristic variations in the composition of a general six-layer structure. It is commonly accepted that these fields correspond to functionally homogeneous entities. Diligent techniques were developed to characterize cytoarchitectonic fields by staining sections of postmortem brains and subsequent statistical evaluation. Fields were found to show a considerable interindividual variability in extent and relation to macroscopic anatomical landmarks. With upcoming new high-resolution magnetic resonance (MR) scanning protocols, it appears worthwile to examine the feasibility of characterizing the neocortical fine-structure from anatomical MR scans, thus, defining cytoarchitectonic fields by in-vivo techniques.