Statistical Shape Analysis of Brain Structures Using Spherical Wavelets Export

@proceedings{citeulike:1730302, abstract = {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}, author = {Nain, D. and Styner, M. and Niethammer, M. and Levitt, J. J. and Shenton, M. E. and Gerig, G. and Bobick, A. and Tannenbaum, A.}, booktitle = {Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on}, citeulike-article-id = {1730302}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ISBI.2007.356825}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4193259}, day = {15}, doi = {10.1109/ISBI.2007.356825}, journal = {Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on}, keywords = {shape\_representation, surface\_parameterization}, month = {May}, pages = {209--212}, posted-at = {2009-10-27 20:50:11}, priority = {2}, title = {Statistical Shape Analysis of Brain Structures Using Spherical Wavelets}, url = {http://dx.doi.org/10.1109/ISBI.2007.356825}, year = {2007} }

TY - CONF ID - citeulike:1730302 L3 - citeulike-article-id:1730302 N2 - 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 JF - Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on EP - 212 TI - Statistical Shape Analysis of Brain Structures Using Spherical Wavelets T2 - Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on SP - 209 KW - shape_representation KW - surface_parameterization AU - Nain, D AU - Styner, M AU - Niethammer, M AU - Levitt, JJ AU - Shenton, ME AU - Gerig, G AU - Bobick, A AU - Tannenbaum, A PY - 2007/05/15/ UR - http://dx.doi.org/10.1109/ISBI.2007.356825 ER -