Discrimination analysis using multi-object statistics of shape and pose

Kevin Gorczowski, Martin Styner, Yeon Jeong Ja, J. S. Marron, Joseph Piven, Heather Cody Hazlett, Stephen M. Pizer, Guido Gerig

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

    Abstract

    A main focus of statistical shape analysis is the description of variability of a population of geometric objects. In this paper, we present work towards modeling the shape and pose variability of sets of multiple objects. Principal geodesic analysis (PGA) is the extension of the standard technique of principal component analysis (PCA) into the nonlinear Riemannian symmetric space of pose and our medial m-rep shape description, a space in which use of PCA would be incorrect. In this paper, we discuss the decoupling of pose and shape in multi-object sets using different normalization settings. Further, we introduce methods of describing the statistics of object pose and object shape, both separately and simultaneously using a novel extension of PGA. We demonstrate our methods in an application to a longitudinal pediatric autism study with object sets of 10 subcortical structures in a population of 47 subjects. The results show that global scale accounts for most of the major mode of variation across time. Furthermore, the PGA components and the corresponding distribution of different subject groups vary significantly depending on the choice of normalization, which illustrates the importance of global and local pose alignment in multi-object shape analysis. Finally, we present results of using distance weighted discrimination analysis (DWD) in an attempt to use pose and shape features to separate subjects according to diagnosis, as well as visualize discriminating differences.

    Original languageEnglish (US)
    Title of host publicationMedical Imaging 2007
    Subtitle of host publicationImage Processing
    EditionPART 1
    DOIs
    StatePublished - 2007
    EventMedical Imaging 2007: Image Processing - San Diego, CA, United States
    Duration: Feb 18 2007Feb 20 2007

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    NumberPART 1
    Volume6512
    ISSN (Print)1605-7422

    Other

    OtherMedical Imaging 2007: Image Processing
    CountryUnited States
    CitySan Diego, CA
    Period2/18/072/20/07

    Keywords

    • Brain morphometry
    • Statistical shape analysis
    • Statistics

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Biomaterials
    • Atomic and Molecular Physics, and Optics
    • Radiology Nuclear Medicine and imaging

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  • Cite this

    Gorczowski, K., Styner, M., Ja, Y. J., Marron, J. S., Piven, J., Hazlett, H. C., Pizer, S. M., & Gerig, G. (2007). Discrimination analysis using multi-object statistics of shape and pose. In Medical Imaging 2007: Image Processing (PART 1 ed.). [65121A] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6512, No. PART 1). https://doi.org/10.1117/12.710218