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.
| Original language | English (US) |
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| Pages | 212-217 |
| Number of pages | 6 |
| State | Published - 1995 |
| Externally published | Yes |
| Event | International Symposium on Computer Vision, ISCV'95, Proceedings - Coral Gables, FL, USA Duration: Nov 21 1995 → Nov 23 1995 |
Other
| Other | International Symposium on Computer Vision, ISCV'95, Proceedings |
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| City | Coral Gables, FL, USA |
| Period | 11/21/95 → 11/23/95 |
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition