Finding related functional neuroimaging volumes

  • Authors:
  • Finn írup Nielsen;Lars Kai Hansen

  • Affiliations:
  • Informatics and Mathematical Modelling, Building 321, Technical University of Denmark, Lyngby, Denmark;Informatics and Mathematical Modelling, Building 321, Technical University of Denmark, Lyngby, Denmark

  • Venue:
  • Artificial Intelligence in Medicine
  • Year:
  • 2004

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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.