• DocumentCode
    2894694
  • Title

    Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI

  • Author

    Valindria, Vanya V. ; Angue, Marion ; Vignon, Nicolas ; Walker, Paul M. ; Cochet, Alexandre ; Lalande, Alain

  • Author_Institution
    Groupe Imagerie Medicale, Univ. de Bourgogne, Dijon, France
  • fYear
    2011
  • fDate
    Nov. 28 2011-Dec. 1 2011
  • Firstpage
    277
  • Lastpage
    283
  • Abstract
    In this study, we developed a novel method for a fullyautomatic segmentation and quantification of myocardialinfarction from delay enhancement - magnetic resonanceimaging. Hyper-enhanced region corresponding to the infarctcore is separated from normal tissue via a Gaussian mixturemodel. Then, peri-infarct area is determined by spatial-weightedfuzzy clustering. No-reflow area inside the infarct core is alsodefined by an improved thresholding. Results of quantificationare presented in per-slice and global volumetric analysis, as wellas in bull´s eye of 16-segment model. Promising results have beenachieved in quantification and segmentation of myocardialinfarct. Our software could be used in clinical practice after acomplete validation.
  • Keywords
    Gaussian processes; biological tissues; biomedical MRI; fuzzy set theory; image enhancement; image segmentation; medical image processing; pattern clustering; Gaussian mixture model; MRI; automatic quantification; delay image enhancement; global volumetric analysis; image segmentation; image thresholding; infarct core; magnetic resonance imaging; myocardial infarction; per-slice analysis; spatial-weighted fuzzy clustering; tissue; Heart; Helium; Image segmentation; Magnetic resonance imaging; Manuals; Myocardium; Silicon; MRI; Myocardium; automatic; viability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal-Image Technology and Internet-Based Systems (SITIS), 2011 Seventh International Conference on
  • Conference_Location
    Dijon
  • Print_ISBN
    978-1-4673-0431-3
  • Type

    conf

  • DOI
    10.1109/SITIS.2011.83
  • Filename
    6120661