Hypothesis testing with nonlinear shape models

http://link.springer.com/chapter/10.1007/11505730_2
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Links to Media http://link.springer.com/chapter/10.1007%2F11505730_2
Publication Type journal article
Creator Gerig, Guido
Other Author Terriberry, Timothy B.; Joshi, Sarang C.
Title Hypothesis testing with nonlinear shape models
Date 2005-01-01
Description We present a method for two-sample hypothesis testing for statistical shape analysis using nonlinear shape models. Our approach uses a true multivariate permutation test that is invariant to the scale of different model parameters and that explicitly accounts for the dependencies between variables. We apply our method to m-rep models of the lateral ventricles to examine the amount of shape variability in twins with different degrees of genetic similarity.
Type InteractiveResource
Publisher Springer
Journal Title Information Processing in Medical Imaging (IPMI)
Volume 3565
First Page 15
Last Page 26
DOI 10.1007/11505730_2
Language eng
Bibliographic Citation Terriberry, T. B., Joshi, S. C., & Gerig, G. (2005). Hypothesis testing with nonlinear shape models. in Edited by Christensen, G. & Sonka, M., Information Processing in Medical Imaging (IPMI), 3565,15-26.
Rights Management (c) Springer (The original publication is available at www.springerlink.com) The final publication is available at Springer via http://dx.doi.org/10.1007/11505730_2.
Format Medium application/html
Identifier uspace, 19293
ARK ark:/87278/s67119kr
Setname ir_uspace
ID 712903
Reference URL https://collections.lib.utah.edu/ark:/87278/s67119kr
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