Pantazis, Dimitrios, Leahy, Richard M., Nichols, Thomas E. and Styner, Martin Andreas (2004) Statistical surface-based morphometry using a nonparametric approach. In: Symposium on Biomedical Imaging 2004, Arlington, VA, USA, 15th-18th April 2004. Published in: Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium, Vol.2 pp. 1283-1286.

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Abstract

We present a novel method of statistical surface-based morphometry based on the use of nonparametric permutation tests. In order to evaluate morphological differences of brain structures, we compare anatomical structures acquired at different times and/or from different subjects. Registration to a common coordinate system establishes corresponding locations and the differences between such locations are modeled as a displacement vector field (DVF). The analysis of DVFs involves testing thousands of hypothesis for signs of statistically significant effects. We randomly permute the surface data among two groups to determine thresholds that control the family wise (type 1) error rate. These thresholds are based on the maximum distribution of the amplitude of the vector fields, which implicitly accounts for spatial correlation of the fields. We propose two normalization schemes for achieving uniform spatial sensitivity. We demonstrate their application in a shape similarity study of the lateral ventricles of monozygotic twins and nonrelated subjects.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions:	Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH):	Morphology -- Statistical methods, Nonparametric statistics, Magnetic resonance imaging -- Statistical methods, Brain -- Imaging -- Statistical methods
Journal or Publication Title:	Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium
Publisher:	IEEE
ISSN:	1945-8452
Date:	April 2004
Volume:	Vol.2
Page Range:	pp. 1283-1286
Identification Number:	10.1109/ISBI.2004.1398780
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Conference Paper Type:	Paper
Title of Event:	Symposium on Biomedical Imaging 2004
Type of Event:	Conference
Location of Event:	Arlington, VA, USA
Date(s) of Event:	15th-18th April 2004
References:	[1] C. Davatzikos, M. Vaillant, S. Resnick, J.L Prince, S. Letovsky, and R.N. Bryan, “A computerized method for morphological analysis of the corpus callosum,” Journal of Computer Assisted Tomography, vol. 20, pp. 88–97, Jan./Feb 1996. [2] J.G. Csernansky, S. Joshi, L.E.Wang, J. Haller, M. Gado, J.P. Miller, U. Grenander, and M.I. Miller, “Hippocampal morphometry in schizophrenia via high dimensional brain mapping,” Proc. Natl. Acad. Sci. USA, vol. 95, pp. 11406–11411, September 1998. [3] G. Gerig, M. Styner, D. Jones, D. Weinberger, and J. Lieberman, “Shape analysis of brain ventricles using spharm,” in Mathematical Methods in Biomedical Image Analysis. 2001, pp. 171–178, IEEE press. [4] M. Styner, G. Gerig, J. Lieberman, D. Jones, and D. Weinberger, “Statistical shape analysis of neuroanatomical structures based on medial models,” Medical Image Analysis, vol. 7, no. 3, pp. 207–220, 2003. [5] M. K. Chung, Statistical Morphometry in Neuroanatomy, Ph.D. thesis, McGill University, Montreal, 2001. [6] K. J. Worsley, S. Marrett, P. Neelin, A. C. Vandal, K. J. Friston, and A. C. Evans, “A unified statistical approach for determining significant signals in images of cerebral activation,” Human Brain Mapping, vol. 4, pp. 58–73, 1996. [7] T. E. Nichols and A. P. Holmes, “Nonparametric permutation tests for functional neuroimaging: A primer with examples,” Human Brain Mapping, vol. 15, pp. 1–25, 2001. [8] D. Pantazis, T. E. Nichols, S. Baillet, and R.M. Leahy, “Spatiotemporal localization of significant activation in meg using permutation tests,” in Information Processing in Medical Imaging, 2003, pp. 512–523. [9] E. R. Sowell, P. M. Thompson, C. J. Holmes, T. L. Jernigan, and A.W. Toga, “In vivo evidence for post-adolescent frontal and striatal maturation,” Nature Neuroscience, Sept./ Oct. 1999. [10] E. S. Edgington, Ed., Randomization Tests, Academic Press, 1995.
URI:	http://wrap.warwick.ac.uk/id/eprint/38478

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