Quantifying regional growth patterns through longitudinal analysis of distances between multimodal MR intensity distributions

Avantika Vardhan, Marcel Prastawa, Sylvain Gouttard, Joseph Piven, Guido Gerig

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

    Abstract

    Quantitative analysis of early brain development through imaging is critical for identifying pathological development, which may in turn affect treatment procedures. We propose a framework for analyzing spatiotemporal patterns of brain maturation by quantifying intensity changes in longitudinal MR images. We use a measure of divergence between a pair of intensity distributions to study the changes that occur within specific regions, as well as between a pair of anatomical regions, over time. The change within a specific region is measured as the contrast between white matter and gray matter tissue belonging to that region. The change between a pair of regions is measured as the divergence between regional image appearances, summed over all tissue classes. We use kernel regression to integrate the temporal information across different subjects in a consistent manner. We applied our method on multimodal MRI data with T1-weighted (T1W) and T2-weighted (T2W) scans of each subject at the approximate ages of 6 months, 12 months, and 24 months. The results demonstrate that brain maturation begins at posterior regions and that frontal regions develop later, which matches previously published histological, qualitative and morphometric studies. Our multimodal analysis also confirms that T1W and T2W modalities capture different properties of the maturation process, a phenomena referred to as T2 time lag compared to T1. The proposed method has potential for analyzing regional growth patterns across different populations and for isolating specific critical maturation phases in different MR modalities.

    Original languageEnglish (US)
    Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging
    Subtitle of host publicationFrom Nano to Macro, ISBI 2012 - Proceedings
    Pages1156-1159
    Number of pages4
    DOIs
    StatePublished - Aug 15 2012
    Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
    Duration: May 2 2012May 5 2012

    Publication series

    NameProceedings - International Symposium on Biomedical Imaging
    ISSN (Print)1945-7928
    ISSN (Electronic)1945-8452

    Other

    Other2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
    CountrySpain
    CityBarcelona
    Period5/2/125/5/12

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    Keywords

    • Early brain development
    • MR contrast analysis
    • distribution statistics
    • longitudinal analysis
    • structural MRI

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Radiology Nuclear Medicine and imaging

    Cite this

    Vardhan, A., Prastawa, M., Gouttard, S., Piven, J., & Gerig, G. (2012). Quantifying regional growth patterns through longitudinal analysis of distances between multimodal MR intensity distributions. In 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Proceedings (pp. 1156-1159). [6235765] (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2012.6235765