Longitudinal modeling of multi-modal image contrast reveals patterns of early brain growth

Avantika Vardhan, James Fishbaugh, Clement Vachet, Guido Gerig

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

    Abstract

    The brain undergoes rapid development during early childhood as a series of biophysical and chemical processes occur, which can be observed in magnetic resonance (MR) images as a change over time of white matter intensity relative to gray matter. Such a contrast change manifests in specific patterns in different imaging modalities, suggesting that brain maturation is encoded by appearance changes in multi-modal MRI. In this paper, we explore the patterns of early brain growth encoded by multi-modal contrast changes in a longitudinal study of children. For a given modality, contrast is measured by comparing histograms of intensity distributions between white and gray matter. Multivariate non-linear mixed effects (NLME) modeling provides subject-specific as well as population growth trajectories which accounts for contrast from multiple modalities. The multivariate NLME procedure and resulting non-linear contrast functions enable the study of maturation in various regions of interest. Our analysis of several brain regions in a study of 70 healthy children reveals a posterior to anterior pattern of timing of maturation in the major lobes of the cerebral cortex, with posterior regions maturing earlier than anterior regions. Furthermore, we find significant differences between maturation rates between males and females.

    Original languageEnglish (US)
    Title of host publicationMedical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings
    PublisherSpringer Verlag
    Pages75-83
    Number of pages9
    Volume10433 LNCS
    ISBN (Print)9783319661810
    DOIs
    StatePublished - 2017
    Event20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017 - Quebec City, Canada
    Duration: Sep 11 2017Sep 13 2017

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10433 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017
    CountryCanada
    CityQuebec City
    Period9/11/179/13/17

    Fingerprint

    Brain
    Modality
    Mixed Effects
    Nonlinear Effects
    Modeling
    Magnetic Resonance Image
    Population Growth
    Chemical Processes
    Longitudinal Study
    Magnetic resonance
    Cortex
    Region of Interest
    Magnetic resonance imaging
    Histogram
    Timing
    Trajectories
    Imaging
    Trajectory
    Imaging techniques
    Series

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Cite this

    Vardhan, A., Fishbaugh, J., Vachet, C., & Gerig, G. (2017). Longitudinal modeling of multi-modal image contrast reveals patterns of early brain growth. In Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings (Vol. 10433 LNCS, pp. 75-83). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10433 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-66182-7_9

    Longitudinal modeling of multi-modal image contrast reveals patterns of early brain growth. / Vardhan, Avantika; Fishbaugh, James; Vachet, Clement; Gerig, Guido.

    Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Vol. 10433 LNCS Springer Verlag, 2017. p. 75-83 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10433 LNCS).

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

    Vardhan, A, Fishbaugh, J, Vachet, C & Gerig, G 2017, Longitudinal modeling of multi-modal image contrast reveals patterns of early brain growth. in Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. vol. 10433 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10433 LNCS, Springer Verlag, pp. 75-83, 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, Quebec City, Canada, 9/11/17. https://doi.org/10.1007/978-3-319-66182-7_9
    Vardhan A, Fishbaugh J, Vachet C, Gerig G. Longitudinal modeling of multi-modal image contrast reveals patterns of early brain growth. In Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Vol. 10433 LNCS. Springer Verlag. 2017. p. 75-83. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-66182-7_9
    Vardhan, Avantika ; Fishbaugh, James ; Vachet, Clement ; Gerig, Guido. / Longitudinal modeling of multi-modal image contrast reveals patterns of early brain growth. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Vol. 10433 LNCS Springer Verlag, 2017. pp. 75-83 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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