Statistical shape analysis of brain structures using spherical wavelets

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Publication Type journal article
School or College <blank>
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Creator Gerig, Guido
Other Author Nain, D.; Styner, M.; Niethammer, M.; Levitt, J. J.; Shenton, M. E.; Bobick, A.; Tannenbaum, A.
Title Statistical shape analysis of brain structures using spherical wavelets
Date 2007-01-01
Description We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests and a spherical wavelet (SWC) shape representation. As an application, we analyze two brain structures, the caudate nucleus and the hippocampus, and compare the results obtained to shape analysis using a sampled point representation. Our results show that the SWC representation indicates new areas of significance preserved under the FDR correction for both the left caudate nucleus and left hippocampus. Additionally, the spherical wavelet representation provides a natural way to interpret the significance results in terms of scale in addition to knowing the spatial location of the regions.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 209
Last Page 212
Language eng
Bibliographic Citation Nain, D., Styner, M., Niethammer, M., Levitt, J. J., Shenton, M. E., Gerig, G., Bobick, A., &Tannenbaum, A. (2007). Statistical shape analysis of brain structures using spherical wavelets. Proceedings of the 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2007), 209-12.
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Format Medium application/pdf
Format Extent 443,949 bytes
Identifier uspace,19262
ARK ark:/87278/s6c85kff
Setname ir_uspace
ID 712809
Reference URL https://collections.lib.utah.edu/ark:/87278/s6c85kff
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