Object-based morphometry of the cerebral cortex.
Where this comes from
- Record sourced from PubMed, PMID 15338731.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Most of the approaches dedicated to automatic morphometry rely on a point-by-point strategy based on warping each brain toward a reference coordinate system. In this paper, we describe an alternative object-based strategy dedicated to the cortex. This strategy relies on an artificial neuroanatomist performing automatic recognition of the main cortical sulci and parcellation of the cortical surface into gyral patches. A set of shape descriptors, which can be compared across subjects, is then attached to the sulcus and gyrus related objects segmented by this process. The framework is used to perform a study of 142 brains of the International Consortium for Brain Mapping (ICBM) database. This study reveals some correlates of handedness on the size of the sulci located in motor areas, which was not detected previously using standard voxel based morphometry.
Medical subject headings
- Algorithms
- Cerebral Cortex
- Expert Systems
- Image Interpretation, Computer-Assisted
- Imaging, Three-Dimensional
- Pattern Recognition, Automated
- Subtraction Technique