Abstract
In this paper, we explore the use of over-complete spherical wavelets in shape analysis of closed 2D surfaces. Previous work has demonstrated, theoretically and practically, the advantages of over-complete over bi-orthogonal spherical wavelets. Here we present a detailed formulation of over-complete wavelets, as well as shape analysis experiments of cortical folding development using them. Our experiments verify in a quantitative fashion existing qualitative theories of neuro-anatomical development. Furthermore, the experiments reveal novel insights into neuro-anatomical development not previously documented. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Yeo, B. T. T., Yu, P., Grant, P. E., Fischl, B., & Golland, P. (2008). Shape analysis with overcomplete spherical wavelets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5241 LNCS, pp. 468–476). https://doi.org/10.1007/978-3-540-85988-8_56
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