Analysis of longitudinal shape variability via subject specific growth modeling

James Fishbaugh, Marcel Prastawa, Stanley Durrleman, Joseph Piven, Guido Gerig, Network IBIS Network

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

    Abstract

    Statistical analysis of longitudinal imaging data is crucial for understanding normal anatomical development as well as disease progression. This fundamental task is challenging due to the difficulty in modeling longitudinal changes, such as growth, and comparing changes across different populations. We propose a new approach for analyzing shape variability over time, and for quantifying spatiotemporal population differences. Our approach estimates 4D anatomical growth models for a reference population (an average model) and for individuals in different groups. We define a reference 4D space for our analysis as the average population model and measure shape variability through diffeomorphisms that map the reference to the individuals. Conducting our analysis on this 4D space enables straightforward statistical analysis of deformations as they are parameterized by momenta vectors that are located at homologous locations in space and time. We evaluate our method on a synthetic shape database and clinical data from a study that seeks to quantify brain growth differences in infants at risk for autism.

    Original languageEnglish (US)
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings
    EditorsNicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori
    PublisherSpringer Verlag
    Pages731-738
    Number of pages8
    ISBN (Print)9783642334146
    DOIs
    StatePublished - 2012
    Event15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France
    Duration: Oct 1 2012Oct 5 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7510 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
    CountryFrance
    CityNice
    Period10/1/1210/5/12

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Fingerprint Dive into the research topics of 'Analysis of longitudinal shape variability via subject specific growth modeling'. Together they form a unique fingerprint.

    Cite this