| Autor: |
Elnakib, A., Nitzken, M., Casanova, M. F., Park, H.-Y., Gimel'farb, G., El-Baz, A. |
| Zdroj: |
Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012); 1/ 1/2012, p41-44, 4p |
| Abstrakt: |
To characterize the brain changes associated with aging, we detect brain cortex variability through a spherical harmonic analysis that represents a 3D surface supported by the unit sphere through a linear combination of special basis functions, called spherical harmonics (SHs). The proposed 3D shape analysis is carried out in four steps: (i) 3D Delau-nay triangulation to construct a 3D mesh model of the brain cortex surface; (ii) mapping this model to the unit sphere; (iii) computing the SHs for the surface; and (iv) calculating the area under the error reconstruction curve for the SHs to delineate the brain cortex. We describe the brain shape complexity with a new shape index, the estimated area under the error reconstruction curve for the SHs. The initial experiments on 187 male subjects (age range, 4–22 years) and the comparison results with the cortex volumetric index suggest that our shape index is a promising supplement to current metrics that characterize age-related brain changes. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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