Mixed-effects shape models for estimating longitudinal changes in anatomy

Manasi Datar, Prasanna Muralidharan, Abhishek Kumar, Sylvain Gouttard, Joseph Piven, Guido Gerig, Ross Whitaker, P. Thomas Fletcher

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

    Abstract

    In this paper, we propose a new method for longitudinal shape analysis that fits a linear mixed-effects model, while simultaneously optimizing correspondences on a set of anatomical shapes. Shape changes are modeled in a hierarchical fashion, with the global population trend as a fixed effect and individual trends as random effects. The statistical significance of the estimated trends are evaluated using specifically designed permutation tests. We also develop a permutation test based on the Hotelling T 2 statistic to compare the average shapes trends between two populations. We demonstrate the benefits of our method on a synthetic example of longitudinal tori and data from a developmental neuroimaging study.

    Original languageEnglish (US)
    Title of host publicationSpatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings
    Pages76-87
    Number of pages12
    Volume7570 LNCS
    DOIs
    StatePublished - 2012
    Event2nd International Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, Held in Conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France
    Duration: Oct 1 2012Oct 1 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7570 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other2nd International Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, Held in Conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
    CountryFrance
    CityNice
    Period10/1/1210/1/12

    Fingerprint

    Neuroimaging
    Mixed Effects
    Anatomy
    Statistics
    Permutation Test
    Longitudinal Analysis
    Linear Mixed Effects Model
    Shape Analysis
    Fixed Effects
    Statistical Significance
    Random Effects
    Model
    Statistic
    Torus
    Correspondence
    Trends
    Demonstrate

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Datar, M., Muralidharan, P., Kumar, A., Gouttard, S., Piven, J., Gerig, G., ... Fletcher, P. T. (2012). Mixed-effects shape models for estimating longitudinal changes in anatomy. In Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings (Vol. 7570 LNCS, pp. 76-87). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7570 LNCS). https://doi.org/10.1007/978-3-642-33555-6_7

    Mixed-effects shape models for estimating longitudinal changes in anatomy. / Datar, Manasi; Muralidharan, Prasanna; Kumar, Abhishek; Gouttard, Sylvain; Piven, Joseph; Gerig, Guido; Whitaker, Ross; Fletcher, P. Thomas.

    Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings. Vol. 7570 LNCS 2012. p. 76-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7570 LNCS).

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

    Datar, M, Muralidharan, P, Kumar, A, Gouttard, S, Piven, J, Gerig, G, Whitaker, R & Fletcher, PT 2012, Mixed-effects shape models for estimating longitudinal changes in anatomy. in Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings. vol. 7570 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7570 LNCS, pp. 76-87, 2nd International Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, Held in Conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012, Nice, France, 10/1/12. https://doi.org/10.1007/978-3-642-33555-6_7
    Datar M, Muralidharan P, Kumar A, Gouttard S, Piven J, Gerig G et al. Mixed-effects shape models for estimating longitudinal changes in anatomy. In Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings. Vol. 7570 LNCS. 2012. p. 76-87. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-33555-6_7
    Datar, Manasi ; Muralidharan, Prasanna ; Kumar, Abhishek ; Gouttard, Sylvain ; Piven, Joseph ; Gerig, Guido ; Whitaker, Ross ; Fletcher, P. Thomas. / Mixed-effects shape models for estimating longitudinal changes in anatomy. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings. Vol. 7570 LNCS 2012. pp. 76-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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