• DocumentCode
    2505584
  • Title

    Automatic quantification and 3D visualisation of edema in cardiac MRI

  • Author

    Kadir, Kushsairy ; Gao, Hao ; Payne, Alex ; Soraghan, John ; Berry, Colin

  • Author_Institution
    Dept. of Electron. & Electr., Univ. of Strathcylde, Glasgow, UK
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    8021
  • Lastpage
    8024
  • Abstract
    Viability assessment of heart muscle after a myocardial infarction is an important step for diagnosis and therapy planning. It is important to quantify the area of edema because it can differentiate between viable and death myocardial tissues. In this paper an automatic method to quantify cardiac edema is presented. The method is based on a combination of morphological operations and statistical thresholding. Using real MRI data it is demonstrated that the proposed method can delineate edema region comparable to manual segmentation with a linear correlation coefficient r=0.76 and the mean difference is around 9.95%. The quantification result is also used to generate 3D visualisation model showing normal myocardial wall and edema region, which will enhance clinician diagnosis capability with real pattern of edema distribution and quantitative description.
  • Keywords
    biomedical MRI; blood vessels; cardiology; diseases; image segmentation; medical image processing; muscle; patient treatment; 3D visualisation; automatic quantification; cardiac MRI; edema distribution; edema region; heart muscle; linear correlation coefficient; manual segmentation; morphological operation; myocardial infarction; myocardial tissue; patient diagnosis; statistical thresholding; therapy planning; Educational institutions; Image segmentation; Magnetic resonance imaging; Manuals; Myocardium; Three dimensional displays; Automation; Edema, Cardiac; Heart Ventricles; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Myocardium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091978
  • Filename
    6091978