• DocumentCode
    2466008
  • Title

    Evaluation of cardiac function from short-axis cardiac magnetic resonance images using automatic boundary extraction

  • Author

    Zimmer, Y. ; Akselrod, S.

  • Author_Institution
    Dept. of Med. Phys., Tel Aviv Univ., Israel
  • fYear
    1993
  • fDate
    5-8 Sep 1993
  • Firstpage
    743
  • Lastpage
    746
  • Abstract
    Magnetic resonance images of the heart provide a wide variety of cardiac anatomical and physiological data. In this study an almost fully automatic process, that extracts the endocardial and epicardial boundaries and provides numerical values of the main cardiac functional parameters, is presented. The contour extraction algorithm performs well in more than 60% of the inspected images for variable quality images. Its performance improves markedly when only reasonable quality images are considered. The values obtained for cardiac parameters seem to be within the normal range
  • Keywords
    biomedical NMR; cardiology; medical image processing; anatomical data; automatic boundary extraction; cardiac function evaluation; cardiac parameters; contour extraction algorithm; endocardial boundaries; epicardial boundaries; heart images; medical diagnostic imaging; numerical values; physiological data; reasonable quality images; short-axis cardiac magnetic resonance images; variable quality images; Blood; Data mining; Heart; Histograms; Image edge detection; Image segmentation; Magnetic resonance; Muscles; Myocardium; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1993, Proceedings.
  • Conference_Location
    London
  • Print_ISBN
    0-8186-5470-8
  • Type

    conf

  • DOI
    10.1109/CIC.1993.378378
  • Filename
    378378