Subject-specific longitudinal shape analysis by coupling spatiotemporal shape modeling with medial analysis

Sungmin Hong, James Fishbaugh, Morteza Rezanejad, Kaleem Siddiqi, Hans Johnson, Jane Paulsen, Eun Young Kim, Guido Gerig

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

    Abstract

    Modeling subject-specific shape change is one of the most important challenges in longitudinal shape analysis of disease progression. Whereas anatomical change over time can be a function of normal aging, anatomy can also be impacted by disease related degeneration. Anatomical shape change may also be affected by structural changes from neighboring shapes, which may cause non-linear variations in pose. In this paper, we propose a framework to analyze disease related shape changes by coupling extrinsic modeling of the ambient anatomical space via spatiotemporal deformations with intrinsic shape properties from medial surface analysis. We compare intrinsic shape properties of a subject-specific shape trajectory to a normative 4D shape atlas representing normal aging to isolate shape changes related to disease. The spatiotemporal shape modeling establishes inter/intra subject anatomical correspondence, which in turn enables comparisons between subjects and the 4D shape atlas, and also quantitative analysis of disease related shape change. The medial surface analysis captures intrinsic shape properties related to local patterns of deformation. The proposed framework jointly models extrinsic longitudinal shape changes in the ambient anatomical space, as well as intrinsic shape properties to give localized measurements of degeneration. Six high risk subjects and six controls are randomly sampled from a Huntington's disease image database for qualitative and quantitative comparison.

    Original languageEnglish (US)
    Title of host publicationMedical Imaging 2017
    Subtitle of host publicationImage Processing
    EditorsElsa D. Angelini, Martin A. Styner, Elsa D. Angelini
    PublisherSPIE
    ISBN (Electronic)9781510607118
    DOIs
    StatePublished - 2017
    EventMedical Imaging 2017: Image Processing - Orlando, United States
    Duration: Feb 12 2017Feb 14 2017

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Volume10133
    ISSN (Print)1605-7422

    Other

    OtherMedical Imaging 2017: Image Processing
    CountryUnited States
    CityOrlando
    Period2/12/172/14/17

    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

    Hong, S., Fishbaugh, J., Rezanejad, M., Siddiqi, K., Johnson, H., Paulsen, J., Kim, E. Y., & Gerig, G. (2017). Subject-specific longitudinal shape analysis by coupling spatiotemporal shape modeling with medial analysis. In E. D. Angelini, M. A. Styner, & E. D. Angelini (Eds.), Medical Imaging 2017: Image Processing [101331A] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10133). SPIE. https://doi.org/10.1117/12.2254675