Towards analysis of growth trajectory through multimodal longitudinal MR imaging

Neda Sadeghi, Marcel Prastawa, John H. Gilmore, Weili Lin, Guido Gerig

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

    Abstract

    The human brain undergoes significant changes in the first few years after birth, but knowledge about this critical period of development is quite limited. Previous neuroimaging studies have been mostly focused on morphometric measures such as volume and shape, although tissue property measures related to the degree of myelination and axon density could also add valuable information to our understanding of brain maturation. Our goal is to complement brain growth analysis via morphometry with the study of longitudinal tissue property changes as reflected in patterns observed in multi-modal structural MRI and DTI. Our preliminary study includes eight healthy pediatric subjects with repeated scans at the age of two weeks, one year, and two years with T1, T2, PD, and DT MRI. Analysis is driven by the registration of multiple modalities and time points within and between subjects into a common coordinate frame, followed by image intensity normalization. Quantitative tractography with diffusion and structural image parameters serves for multi-variate tissue analysis. Different patterns of rapid changes were observed in the corpus callosum and the posterior and anterior internal capsule, structures known for distinctly different myelination growth. There are significant differences in central versus peripheral white matter. We demonstrate that the combined longitudinal analysis of structural and diffusion MRI proves superior to individual modalities and might provide a better understanding of the trajectory of early neurodevelopment.

    Original languageEnglish (US)
    Title of host publicationMedical Imaging 2010: Image Processing
    Volume7623
    EditionPART 1
    DOIs
    StatePublished - 2010
    EventMedical Imaging 2010: Image Processing - San Diego, CA, United States
    Duration: Feb 14 2010Feb 16 2010

    Other

    OtherMedical Imaging 2010: Image Processing
    CountryUnited States
    CitySan Diego, CA
    Period2/14/102/16/10

    Fingerprint

    Magnetic resonance imaging
    brain
    Brain
    Trajectories
    trajectories
    Tissue
    Imaging techniques
    Growth
    Neuroimaging
    axons
    Internal Capsule
    Pediatrics
    Diffusion Magnetic Resonance Imaging
    Diffusion Tensor Imaging
    Corpus Callosum
    capsules
    complement
    Capsules
    Axons
    Longitudinal Studies

    Keywords

    • Brain development
    • Diffusion tensor imaging
    • Growth trajectory
    • Longitudinal analysis
    • MRI

    ASJC Scopus subject areas

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

    Cite this

    Sadeghi, N., Prastawa, M., Gilmore, J. H., Lin, W., & Gerig, G. (2010). Towards analysis of growth trajectory through multimodal longitudinal MR imaging. In Medical Imaging 2010: Image Processing (PART 1 ed., Vol. 7623). [76232U] https://doi.org/10.1117/12.844526

    Towards analysis of growth trajectory through multimodal longitudinal MR imaging. / Sadeghi, Neda; Prastawa, Marcel; Gilmore, John H.; Lin, Weili; Gerig, Guido.

    Medical Imaging 2010: Image Processing. Vol. 7623 PART 1. ed. 2010. 76232U.

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

    Sadeghi, N, Prastawa, M, Gilmore, JH, Lin, W & Gerig, G 2010, Towards analysis of growth trajectory through multimodal longitudinal MR imaging. in Medical Imaging 2010: Image Processing. PART 1 edn, vol. 7623, 76232U, Medical Imaging 2010: Image Processing, San Diego, CA, United States, 2/14/10. https://doi.org/10.1117/12.844526
    Sadeghi N, Prastawa M, Gilmore JH, Lin W, Gerig G. Towards analysis of growth trajectory through multimodal longitudinal MR imaging. In Medical Imaging 2010: Image Processing. PART 1 ed. Vol. 7623. 2010. 76232U https://doi.org/10.1117/12.844526
    Sadeghi, Neda ; Prastawa, Marcel ; Gilmore, John H. ; Lin, Weili ; Gerig, Guido. / Towards analysis of growth trajectory through multimodal longitudinal MR imaging. Medical Imaging 2010: Image Processing. Vol. 7623 PART 1. ed. 2010.
    @inproceedings{77691b33449e44b9af3b7a4a7e88b6de,
    title = "Towards analysis of growth trajectory through multimodal longitudinal MR imaging",
    abstract = "The human brain undergoes significant changes in the first few years after birth, but knowledge about this critical period of development is quite limited. Previous neuroimaging studies have been mostly focused on morphometric measures such as volume and shape, although tissue property measures related to the degree of myelination and axon density could also add valuable information to our understanding of brain maturation. Our goal is to complement brain growth analysis via morphometry with the study of longitudinal tissue property changes as reflected in patterns observed in multi-modal structural MRI and DTI. Our preliminary study includes eight healthy pediatric subjects with repeated scans at the age of two weeks, one year, and two years with T1, T2, PD, and DT MRI. Analysis is driven by the registration of multiple modalities and time points within and between subjects into a common coordinate frame, followed by image intensity normalization. Quantitative tractography with diffusion and structural image parameters serves for multi-variate tissue analysis. Different patterns of rapid changes were observed in the corpus callosum and the posterior and anterior internal capsule, structures known for distinctly different myelination growth. There are significant differences in central versus peripheral white matter. We demonstrate that the combined longitudinal analysis of structural and diffusion MRI proves superior to individual modalities and might provide a better understanding of the trajectory of early neurodevelopment.",
    keywords = "Brain development, Diffusion tensor imaging, Growth trajectory, Longitudinal analysis, MRI",
    author = "Neda Sadeghi and Marcel Prastawa and Gilmore, {John H.} and Weili Lin and Guido Gerig",
    year = "2010",
    doi = "10.1117/12.844526",
    language = "English (US)",
    isbn = "9780819480248",
    volume = "7623",
    booktitle = "Medical Imaging 2010: Image Processing",
    edition = "PART 1",

    }

    TY - GEN

    T1 - Towards analysis of growth trajectory through multimodal longitudinal MR imaging

    AU - Sadeghi, Neda

    AU - Prastawa, Marcel

    AU - Gilmore, John H.

    AU - Lin, Weili

    AU - Gerig, Guido

    PY - 2010

    Y1 - 2010

    N2 - The human brain undergoes significant changes in the first few years after birth, but knowledge about this critical period of development is quite limited. Previous neuroimaging studies have been mostly focused on morphometric measures such as volume and shape, although tissue property measures related to the degree of myelination and axon density could also add valuable information to our understanding of brain maturation. Our goal is to complement brain growth analysis via morphometry with the study of longitudinal tissue property changes as reflected in patterns observed in multi-modal structural MRI and DTI. Our preliminary study includes eight healthy pediatric subjects with repeated scans at the age of two weeks, one year, and two years with T1, T2, PD, and DT MRI. Analysis is driven by the registration of multiple modalities and time points within and between subjects into a common coordinate frame, followed by image intensity normalization. Quantitative tractography with diffusion and structural image parameters serves for multi-variate tissue analysis. Different patterns of rapid changes were observed in the corpus callosum and the posterior and anterior internal capsule, structures known for distinctly different myelination growth. There are significant differences in central versus peripheral white matter. We demonstrate that the combined longitudinal analysis of structural and diffusion MRI proves superior to individual modalities and might provide a better understanding of the trajectory of early neurodevelopment.

    AB - The human brain undergoes significant changes in the first few years after birth, but knowledge about this critical period of development is quite limited. Previous neuroimaging studies have been mostly focused on morphometric measures such as volume and shape, although tissue property measures related to the degree of myelination and axon density could also add valuable information to our understanding of brain maturation. Our goal is to complement brain growth analysis via morphometry with the study of longitudinal tissue property changes as reflected in patterns observed in multi-modal structural MRI and DTI. Our preliminary study includes eight healthy pediatric subjects with repeated scans at the age of two weeks, one year, and two years with T1, T2, PD, and DT MRI. Analysis is driven by the registration of multiple modalities and time points within and between subjects into a common coordinate frame, followed by image intensity normalization. Quantitative tractography with diffusion and structural image parameters serves for multi-variate tissue analysis. Different patterns of rapid changes were observed in the corpus callosum and the posterior and anterior internal capsule, structures known for distinctly different myelination growth. There are significant differences in central versus peripheral white matter. We demonstrate that the combined longitudinal analysis of structural and diffusion MRI proves superior to individual modalities and might provide a better understanding of the trajectory of early neurodevelopment.

    KW - Brain development

    KW - Diffusion tensor imaging

    KW - Growth trajectory

    KW - Longitudinal analysis

    KW - MRI

    UR - http://www.scopus.com/inward/record.url?scp=79751520711&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=79751520711&partnerID=8YFLogxK

    U2 - 10.1117/12.844526

    DO - 10.1117/12.844526

    M3 - Conference contribution

    SN - 9780819480248

    VL - 7623

    BT - Medical Imaging 2010: Image Processing

    ER -