Graphical 3D Medical Image Registration and Quantification

  • Authors:

  • Edward J. Farrell;Richard J. T. Gorniak;Elissa L. Kramer;Marilyn E. Noz;Gerald Q. Maguire, Jr.;David Paul Reddy

  • Affiliations:

  • IBM Research Center, Box 704, Yorktown Heights, New York 10598;Department of Radiology, New York University Medical Center, New York, New York 10016;Department of Radiology, New York University Medical Center, New York, New York 10016;Department of Radiology, New York University Medical Center, New York, New York 10016;Department of Teleinformatics, Royal Institute of Technology, S-16440 Kista, Sweden;Radio Logic Inc., PO Box 9665, New Haven, Connecticut 06536

  • Venue:
  • Journal of Medical Systems
  • Year:
  • 1997

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Abstract

We present a graphical three-dimensional method that facilitates image registration and fusion, and provides quantitative geometric and volume information. In particular it enhances the use of functional (radiopharmaceutical) imaging (SPECT, PET) which, though a powerful clinical tool, has the disadvantage of low spatial resolution and ill-defined boundaries. Registration between functional images and structural images (MRI, CT) can augment the anatomical context of these functional images.