Subject-specific estimation of missing cortical thickness maps in developing infant brains

Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen

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

    1 Citation (Scopus)

    Abstract

    To accurately chart the dynamic brain developmental trajectories in infants, many longitudinal neuroimaging studies prefer having a complete dataset. Unfortunately, missing data at certain time points are unavoidable in longitudinal datasets. To better use incomplete longitudinal data, we propose a novel method to estimate the subject-specific vertex-wise cortical thickness maps at missing time points, by using a customized regression forest, Dynamically-Assembled Regression Forest (DARF). DARF ensures spatial smoothness of the estimated cortical thickness maps and also the computational efficiency. The proposed method can fully exploit the available information from the subjects both with and without missing scans. Our method has been applied to estimate the missing cortical thickness maps in a longitudinal infant dataset, which includes 31 healthy subjects, with each having up to 5 scans. The experimental results indicate that our method can accurately estimate missing cortical thickness maps, with the average vertex-wise error less than 0.23 mm.

    Original languageEnglish
    Title of host publicationMedical Computer Vision
    Subtitle of host publicationAlgorithms for Big Data - International Workshop, MCV 2015 and Held in Conjunction with MICCAI 2015, Revised Selected Papers
    EditorsMichael Kelm, Henning Müller, Bjoern Menze, Shaoting Zhang, Dimitris Metaxas, Georg Langs, Albert Montillo, Weidong Cai
    PublisherSpringer Verlag
    Pages83-92
    Number of pages10
    ISBN (Print)9783319420158
    DOIs
    Publication statusPublished - 2016
    EventInternational Workshop on Medical Image Computing for Computer Assisted Intervention, 2015 MICCAI - Germany, Germany
    Duration: 2015 Oct 92015 Oct 9

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9601 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    OtherInternational Workshop on Medical Image Computing for Computer Assisted Intervention, 2015 MICCAI
    Country/TerritoryGermany
    CityGermany
    Period15/10/915/10/9

    Bibliographical note

    Publisher Copyright:
    © Springer International Publishing Switzerland 2016.

    Keywords

    • Infant brain development
    • Longitudinal cortical thickness
    • Missing data completion

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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