Projects:ShapeAnalysisWithOvercompleteWavelets
Back to NA-MIC_Collaborations, MIT Algorithms
In this work, we extend the Euclidean wavelets to the sphere. The resulting over-complete spherical wavelets are invariant to rotation of the parameterization of the original spherical image. We apply the over-complete spherical wavelet to cortical folding development and show significantly consistent results as well as improved sensitivity compared with the previous methods of using bi-orthogonal spherical wavelet. In particular, we were able to detect developmental asymmetry in the left and right hemispheres.
Description
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Key Investigator
MIT: Peng Yu, B.T. Thomas Yeo, Ellen Grant, Bruce Fischl, Polina Golland
Publication
B.T.T. Yeo, W. Ou, P. Golland. On the Construction of Invertible Filter Banks on the 2-Sphere. Yeo, Ou and Golland. Accepted to the IEEE Transactions on Image Processing [In Press]
P. Yu, B.T.T. Yeo, P.E. Grant, B. Fischl, P. Golland. Cortical Folding Development Study based on Over-Complete Spherical Wavelets. In Proceedings of MMBIA: IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, 2007.
