An efficient permutation approach for classical and bioequivalence hypothesis testing of biomedical shape study

Chunxiao Zhou, Michelle Yongmei Wang

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

Abstract

A new statistical permutation analysis method is presented in this paper to efficiently and accurately localize regionally specific shape differences between groups of 3D biomedical images. It can improve the system's efficiency by approximating the permutation distribution of the test statistic with Pearson distribution series. This procedure involves the calculation of the first four moments of the permutation distribution, which are derived theoretically and analytically without any permutation. Furthermore, bioequivalence testing aims for practical significances between the two groups that are statistically significant with the shape differences larger than a desired threshold. Experimental results based on both classical and bioequivalence hypothesis tests using simulated data and real biomedical images are presented to demonstrate the advantages of the proposed approach.

Original languageEnglish (US)
Title of host publicationBioMedical Engineering and Informatics
Subtitle of host publicationNew Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Pages737-741
Number of pages5
DOIs
StatePublished - Sep 18 2008
EventBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 - Sanya, Hainan, China
Duration: May 27 2008May 30 2008

Publication series

NameBioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Volume2

Other

OtherBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
CountryChina
CitySanya, Hainan
Period5/27/085/30/08

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ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Biomedical Engineering

Cite this

Zhou, C., & Wang, M. Y. (2008). An efficient permutation approach for classical and bioequivalence hypothesis testing of biomedical shape study. In BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 (pp. 737-741). [4549273] (BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008; Vol. 2). https://doi.org/10.1109/BMEI.2008.192