Modeling longitudinal MRI changes in populations using a localized, information-theoretic measure of contrast

Avantika Vardhan, Marcel Prastawa, Anuja Sharma, Joseph Piven, Guido Gerig

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

    Abstract

    Longitudinal MR imaging during early brain development provides important information about growth patterns and the development of neurological disorders. We propose a new framework for studying brain growth patterns within and across populations based on MRI contrast changes, measured at each time point of interest and at each voxel. Our method uses regression in the LogOdds space and an information-theoretic measure of distance between distributions to capture contrast in a manner that is robust to imaging parameters and without requiring intensity normalization. We apply our method to a clinical neuroimaging study on early brain development in autism, where we obtain a 4D spatiotemporal model of contrast changes in multimodal structural MRI.

    Original languageEnglish (US)
    Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
    Subtitle of host publicationFrom Nano to Macro
    Pages1396-1399
    Number of pages4
    DOIs
    StatePublished - 2013
    Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
    Duration: Apr 7 2013Apr 11 2013

    Publication series

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

    Other

    Other2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
    CountryUnited States
    CitySan Francisco, CA
    Period4/7/134/11/13

    Keywords

    • Contrast
    • Kullback-Leibler
    • longitudinal MRI
    • regression

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Radiology Nuclear Medicine and imaging

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  • Cite this

    Vardhan, A., Prastawa, M., Sharma, A., Piven, J., & Gerig, G. (2013). Modeling longitudinal MRI changes in populations using a localized, information-theoretic measure of contrast. In ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro (pp. 1396-1399). [6556794] (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2013.6556794