• DocumentCode
    1169174
  • Title

    Integrated imaging for neurosurgery

  • Author

    Beltrame, Francesco ; Marcenaro, Giampiero ; Bonadonna, Francesco

  • Author_Institution
    DIST, Genova Univ., Italy
  • Volume
    11
  • Issue
    1
  • fYear
    1992
  • fDate
    3/1/1992 12:00:00 AM
  • Firstpage
    51
  • Lastpage
    56
  • Abstract
    The authors address using the concept of multimodal bioimage integration at the local area network level, using 3D MRI and PET data of the human head. Here, integration is intended between structural and functional multidimensional images of the same body area of a patient. They analyze the role of present technology and standards (such as the X Window protocol) in providing the physician with a better understanding of the structure-to-function relationships of a given biological organ. They analyze the concept of integration intended as a tool to extract the significative information content from bioimages, i.e. to perform image analysis. The fusion of visual eidetic and linguistic knowledge, which plays an important role in medical diagnosis formation, is seen as a significant step towards obtaining quantitative evaluation of the relevant information content of bioimages.<>
  • Keywords
    biomedical NMR; brain; computerised picture processing; local area networks; medical computing; neurophysiology; radioisotope scanning and imaging; surgery; 3D MRI; PET data; X Window protocol; biological organ; body area; functional multidimensional images; human head; image analysis; information content; linguistic knowledge; local area network level; medical diagnosis formation; multimodal bioimage integration; neurosurgery; patient; physician; quantitative evaluation; structure-to-function relationships; Biological systems; Head; Humans; Image analysis; Local area networks; Magnetic resonance imaging; Multidimensional systems; Neurosurgery; Positron emission tomography; Protocols;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.136118
  • Filename
    136118