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Brain Structure and Function

Erschienen in:

01.08.2008 | Original Article

Approximation of optimal surface parameterizations and the application in cerebral cortex mapping

verfasst von: Fijoy Vadakkumpadan, Peter Spellucci, Yinlong Sun

Erschienen in: Brain Structure and Function | Ausgabe 6/2008

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Abstract

Optimal parameterizations of surface meshes are useful in the mapping and visualization of the cerebral cortex, the outer layer of the human brain. We propose two new methods to compute approximations of the optimal parameterizations, and apply these methods to human cortical surface meshes extracted from magnetic resonance images. Our methods approximate the parameterizations in a low-dimensional subspace spanned by the coordinate vectors of an initial parameterization and the low-frequency eigenvectors of a mesh Laplacian. This low-dimensional approximation reduces the computational complexity while minimizing the error.

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Titel: Approximation of optimal surface parameterizations and the application in cerebral cortex mapping
verfasst von: Fijoy Vadakkumpadan
Peter Spellucci
Yinlong Sun
Publikationsdatum: 01.08.2008
Verlag: Springer-Verlag
Erschienen in: Brain Structure and Function / Ausgabe 6/2008
Print ISSN: 1863-2653
Elektronische ISSN: 1863-2661
DOI: https://doi.org/10.1007/s00429-008-0179-z

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