Statistics of populations of images and its embedded objects: Driving applications in neuroimaging

G. Gerig, S. Joshi, T. Fletcher, K. Gorczowski, S. Xu, S. M. Pizer, M. Styner

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

    Abstract

    Work in progress towards modeling shape statistics of multi-object complexes is presented. Constraints defined by the set of objects such as a compact representation of object shape relationships and correlation of shape changes might have advantages for automatic segmentation and group discrimination. We present a concept for statistical multi-object modeling and discuss the major challenges which are a reduction to a small set of descriptive features, calculation of mean and variability via curved statistics, the choice of aligning sets of multiple objects, and the problem of describing the statistics of object pose and object shape and their interrelationship. Shape modeling and analysis is demonstrated with an application to a longitudinal autism study, with shape modeling of sets of 10 subcortical structures in a population of 20 subjects.

    Original languageEnglish (US)
    Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging
    Subtitle of host publicationFrom Nano to Macro - Proceedings
    Pages1120-1123
    Number of pages4
    StatePublished - 2006
    Event2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States
    Duration: Apr 6 2006Apr 9 2006

    Publication series

    Name2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
    Volume2006

    Other

    Other2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
    CountryUnited States
    CityArlington, VA
    Period4/6/064/9/06

    ASJC Scopus subject areas

    • Engineering(all)

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