Title :
Using a deformable surface model to obtain a shape representation of the cortex
Author :
Davatzikos, Chris ; Bryan, Nick R.
Author_Institution :
Dept. of Radiol. & Radiol. Sci., Johns Hopkins Univ. Sch. of Med., Baltimore, MD, USA
Abstract :
The problem of obtaining a mathematical representation of the cortex of the human brain is examined. A parametrization of the outer cortex is first obtained using a deformable surface algorithm which, motivated by the structure of the cortex, is constructed to find the central layer of thick surfaces. Based on this parametrization a hierarchical representation of the cortical structure is proposed through its depth map and its curvature maps at various scales. Various experiments on magnetic resonance data are presented
Keywords :
brain; image representation; medical image processing; medical signal processing; cortex; curvature maps; deformable surface model; depth map; hierarchical representation; human brain; magnetic resonance data; shape representation; Biomedical imaging; Brain modeling; Computer vision; Deformable models; Image analysis; Noise robustness; Radiology; Shape; Skull; Surface treatment;
Conference_Titel :
Computer Vision, 1995. Proceedings., International Symposium on
Conference_Location :
Coral Gables, FL
Print_ISBN :
0-8186-7190-4
DOI :
10.1109/ISCV.1995.477003
