Title :
Extracting and representing the cortical sulci
Author :
Zhou, Yong ; Thompson, Paul M. ; Toga, Arthur W.
Author_Institution :
Sch. of Med., California Univ., Los Angeles, CA, USA
Abstract :
Cortical sulci are convoluted regions between cortical folds deeply embedded in the surface of the brain. Because of their significant characteristics, their functional separation of distinct brain regions, and their natural topological partition of anatomy, sulci serve as a basis for structural analysis of the brain. Current sulcal modeling techniques depend on manual interpretation. We propose a robust voxel-coding method to automatically extract and parameterize the sulcal surfaces from volume data sets
Keywords :
biomedical MRI; brain; feature extraction; image coding; image representation; medical image processing; anatomy; automatic sulcal surface extraction; automatic sulcal surface parameterisation; brain; convoluted regions; cortical folds; cortical sulci extraction; cortical sulci representation; functional separation; natural topological partition; robust voxel-coding method; structural analysis; sulcal modeling techniques; volume data sets; Active contours; Brain modeling; Data mining; Data preprocessing; Deformable models; Humans; Skeleton; Surface morphology; Surface reconstruction; Surface topography;
Journal_Title :
Computer Graphics and Applications, IEEE
