ROI constrained statistical surface morphometry

Chunxiao Zhou, Denise C. Park, Martin Styner, Yongmei Michelle Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a novel ROI constrained statistical surface analysis framework that aims to accurately and efficiently localize regionally specific shape changes between groups of 3D surfaces. With unknown distribution of the data, existing shape morphometry analysis involves testing thousands of hypotheses for statistically significant effects through permutation. In this work, we develop a hybrid method to improve the system's efficiency by computing the raw p-values of the nonparametric permutation tests only within a region of interest (ROI) of the surface. The ROI is identified through a parametric Pearson type III distribution approximation. Furthermore, a ROI based adaptive procedure is utilized to control the False Discovery Rate (FDR) for increased power of finding the significance.

Original languageEnglish (US)
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages1212-1215
Number of pages4
DOIs
StatePublished - Nov 27 2007
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: Apr 12 2007Apr 15 2007

Publication series

Name2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Other

Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
CountryUnited States
CityArlington, VA
Period4/12/074/15/07

Keywords

  • Brain morphometry
  • FDR
  • Hypothesis testing
  • MRI
  • Permutation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Medicine(all)

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  • Cite this

    Zhou, C., Park, D. C., Styner, M., & Wang, Y. M. (2007). ROI constrained statistical surface morphometry. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 1212-1215). [4193510] (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings). https://doi.org/10.1109/ISBI.2007.357076