Multispectral analysis of magnetic resonance images

M. W. Vannier, R. L. Butterfield, D. Jordan, W. A. Murphy, R. G. Levitt, M. Gado

    Research output: Contribution to journalArticle

    202 Scopus citations

    Abstract

    Magnetic resonance (MR) imaging systems produce spatial distribution estimates of proton density, relaxation time, and flow, in a two dimensional matrix form that is analogous to that of the image data obtained from multispectral imaging satellites. Advanced NASA satellite image processing offers sophisticated multispectral analysis of MR images. Spin echo and inversion recovery pulse sequence images were entered in a digital format compatible with satellite images and accurately registered pixel by pixel. Signatures of each tissue class were automatically determined using both supervised and unsupervised classification. Overall tissue classification was obtained in the form of a theme map. In MR images of the brain, for example, the classes included CSF, gray matter, white matter, subcutaneous fat, muscle, and bone. These methods provide an efficient means of identifying subtle relationships in a multiple MR study.

    Original languageEnglish (US)
    Pages (from-to)221-224
    Number of pages4
    JournalRadiology
    Volume154
    Issue number1
    DOIs
    StatePublished - Jan 1 1985

    ASJC Scopus subject areas

    • Radiology Nuclear Medicine and imaging

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  • Cite this

    Vannier, M. W., Butterfield, R. L., Jordan, D., Murphy, W. A., Levitt, R. G., & Gado, M. (1985). Multispectral analysis of magnetic resonance images. Radiology, 154(1), 221-224. https://doi.org/10.1148/radiology.154.1.3964938