• DocumentCode
    871534
  • Title

    Supercomputing in medical imaging

  • Author

    Orphanoudakis, S.C.

  • Author_Institution
    Dept. of Diagnostic Imaging, Yale Univ. Med. Sch., New Haven, CT, USA
  • Volume
    7
  • Issue
    4
  • fYear
    1988
  • Firstpage
    16
  • Lastpage
    20
  • Abstract
    It is suggested that the diagnostic imaging department of the future will make extensive use of computer networks, mass storage devices, and sophisticated workstations at which humans and machines will interact, assisted by techniques of computer vision and artificial intelligence, to achieve integration of multimodality imaging information and expert medical knowledge. Recent developments in medical imaging are described, and manipulation, display, and analysis techniques that are likely to benefit from supercomputing are examined. The following image processing tasks are discussed; restoration of images; spatial and temporal image and image sequence analysis; image restoration; mathematical image reconstruction from projections; and three-dimensional image analysis. Current trends and future efforts are discussed.<>
  • Keywords
    medical diagnostic computing; reviews; artificial intelligence; computer networks; computer vision; expert medical knowledge; image restoration; image sequence analysis; mass storage devices; mathematical image reconstruction; medical diagnostic imaging; medical imaging; supercomputing; workstations; Artificial intelligence; Biomedical imaging; Computer networks; Computer vision; Humans; Image restoration; Image sequence analysis; Image storage; Medical diagnostic imaging; Workstations;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.20375
  • Filename
    20375