• DocumentCode
    1494652
  • Title

    Graphics applied to medical image registration

  • Author

    Maguire, Gerald Q., Jr. ; Noz, Marilyn E. ; Rusinek, Henry ; Jaeger, Judith ; Kramer, Elissa L. ; Sanger, Joseph J. ; Smith, Gwenn

  • Author_Institution
    Columbia Univ., New York, NY, USA
  • Volume
    11
  • Issue
    2
  • fYear
    1991
  • fDate
    3/1/1991 12:00:00 AM
  • Firstpage
    20
  • Lastpage
    28
  • Abstract
    Software that has been developed to automate and standardize comparison of 3D images is discussed. The major approaches to image registration are examined. The authors´ registration and reconstruction software is described. Studies carried out to determine the relative accuracy of the present registration methods are reported. The main goal of the authors is to improve on commercial SPECT reconstruction algorithms and provide quantification accuracy sufficient for numerical assessment of tracer distribution.<>
  • Keywords
    computerised picture processing; computerised tomography; medical computing; 3D images; commercial SPECT reconstruction algorithms; image registration; medical image registration; numerical assessment; quantification accuracy; reconstruction software; single photon emission computed tomography; tracer distribution; Biomedical imaging; Computed tomography; Computer graphics; Head; Heart; Image registration; Irrigation; Medical diagnostic imaging; Positron emission tomography; Spine;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/38.75587
  • Filename
    75587