A novel framework for the local extraction of extra-axial cerebrospinal fluid from MR brain images

Mahmoud Mostapha, Mark D. Shen, Sunhyung Kim, Meghan Swanson, D. Louis Collins, Vladimir Fonov, Guido Gerig, Joseph Piven, Martin A. Styner

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

    Abstract

    The quantification of cerebrospinal fluid (CSF) in the human brain has shown to play an important role in early postnatal brain developmental. Extr a-axial fluid (EA-CSF), which is characterized by the CSF in the subarachnoid space, is promising in the early detection of children at risk for neurodevelopmental disorders. Currently, though, there is no tool to extract local EA-CSF measurements in a way that is suitable for localized analysis. In this paper, we propose a novel framework for the localized, cortical surface based analysis of EA-CSF. In our proposed processing, we combine probabilistic brain tissue segmentation, cortical surface reconstruction as well as streamline based local EA-CSF quantification. For streamline computation, we employ the vector field generated by solving a Laplacian partial differential equation (PDE) between the cortical surface and the outer CSF hull. To achieve sub-voxel accuracy while minimizing numerical errors, fourth-order Runge-Kutta (RK4) integration was used to generate the streamlines. Finally, the local EA-CSF is computed by integrating the CSF probability along the generated streamlines. The proposed local EA-CSF extraction tool was used to study the early postnatal brain development in typically developing infants. The results show that the proposed localized EA-CSF extraction pipeline can produce statistically significant regions that are not observed in previous global approach.

    Original languageEnglish (US)
    Title of host publicationMedical Imaging 2018
    Subtitle of host publicationImage Processing
    EditorsElsa D. Angelini, Elsa D. Angelini, Bennett A. Landman
    PublisherSPIE
    ISBN (Electronic)9781510616370
    DOIs
    StatePublished - 2018
    EventMedical Imaging 2018: Image Processing - Houston, United States
    Duration: Feb 11 2018Feb 13 2018

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Volume10574
    ISSN (Print)1605-7422

    Other

    OtherMedical Imaging 2018: Image Processing
    CountryUnited States
    CityHouston
    Period2/11/182/13/18

    Keywords

    • Cerebrospinal Fluid
    • Laplace Partial Differential Equation
    • Magnetic Resonance
    • and Brain Development

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Biomaterials
    • Atomic and Molecular Physics, and Optics
    • Radiology Nuclear Medicine and imaging

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  • Cite this

    Mostapha, M., Shen, M. D., Kim, S., Swanson, M., Collins, D. L., Fonov, V., Gerig, G., Piven, J., & Styner, M. A. (2018). A novel framework for the local extraction of extra-axial cerebrospinal fluid from MR brain images. In E. D. Angelini, E. D. Angelini, & B. A. Landman (Eds.), Medical Imaging 2018: Image Processing [105740V] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10574). SPIE. https://doi.org/10.1117/12.2293116