Sciweavers

Share
ICCV
2007
IEEE

Cortical Folding Development Study based on Over-Complete Spherical Wavelets

8 years 11 months ago
Cortical Folding Development Study based on Over-Complete Spherical Wavelets
We introduce the use of over-complete spherical wavelets for shape analysis of 2D closed surfaces. Bi-orthogonal spherical wavelets have been shown to be powerful tools in the segmentation and shape analysis of 2D closed surfaces, but unfortunately they suffer from aliasing problems and are therefore not invariant under rotations of the underlying surface parameterization. In this paper, we demonstrate the theoretical advantage of over-complete wavelets over bi-orthogonal wavelets and illustrate their utility on both synthetic and real data. In particular, we show that over-complete spherical wavelets allow us to build more stable cortical folding development models, and detect a wider array of regions of folding development in a newborn dataset.
Peng Yu, B. T. Thomas Yeo, P. Ellen Grant, Bruce F
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ICCV
Authors Peng Yu, B. T. Thomas Yeo, P. Ellen Grant, Bruce Fischl, Polina Golland
Comments (0)
books