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 proceedingChapter

    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 : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
    Pages731-738
    Number of pages8
    Volume15
    EditionPt 1
    StatePublished - 2012

    Fingerprint

    Growth
    Population
    Anatomic Models
    Autistic Disorder
    Disease Progression
    Databases
    Brain

    ASJC Scopus subject areas

    • Medicine(all)

    Cite this

    Fishbaugh, J., Prastawa, M., Durrleman, S., Piven, J., Gerig, G., & IBIS Network, N. (2012). Analysis of longitudinal shape variability via subject specific growth modeling. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 1 ed., Vol. 15, pp. 731-738)

    Analysis of longitudinal shape variability via subject specific growth modeling. / Fishbaugh, James; Prastawa, Marcel; Durrleman, Stanley; Piven, Joseph; Gerig, Guido; IBIS Network, Network.

    Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 15 Pt 1. ed. 2012. p. 731-738.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Fishbaugh, J, Prastawa, M, Durrleman, S, Piven, J, Gerig, G & IBIS Network, N 2012, Analysis of longitudinal shape variability via subject specific growth modeling. in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 edn, vol. 15, pp. 731-738.
    Fishbaugh J, Prastawa M, Durrleman S, Piven J, Gerig G, IBIS Network N. Analysis of longitudinal shape variability via subject specific growth modeling. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 ed. Vol. 15. 2012. p. 731-738
    Fishbaugh, James ; Prastawa, Marcel ; Durrleman, Stanley ; Piven, Joseph ; Gerig, Guido ; IBIS Network, Network. / Analysis of longitudinal shape variability via subject specific growth modeling. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 15 Pt 1. ed. 2012. pp. 731-738
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