Finding related functional neuroimaging volumes

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    Abstract

    We describe a content-based image retrieval technique for finding related functional neuroimaging experiments by voxelization of sets of stereotactic coordinates in Talairach space, comparing the volumes and reporting related volumes in a sorted list. Voxelization is accomplished by convolving each coordinate with a Gaussian kernel. The scheme allows us to compare experiments represented as either lists of coordinates or volumes, and we introduce alternative entrances to databases by image-based indices constructed via novelty measures and singular value decomposition.
    Original languageEnglish
    JournalArtificial Intelligence in Medicine
    Volume30
    Issue number2
    Pages (from-to)141-151
    ISSN0933-3657
    DOIs
    Publication statusPublished - 2004

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