• DocumentCode
    3170624
  • Title

    Detection and modeling of infarcted myocardium regions in MRI images using a contour deformable model

  • Author

    Stalidis, G. ; Maglaveras, N. ; Dimitriadis, A. ; Pappas, C. ; Strintzis, M.

  • Author_Institution
    Lab. of Med. Inf., Aristotelian Univ. of Thessaloniki, Greece
  • fYear
    1995
  • fDate
    10-13 Sep 1995
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    This work provides a semi-automatic method for defining and modeling of the infarcted myocardial tissue in MRI images. A deformable contour model based on Fourier decomposition is used to define the border of the infarcted region in successive slice images. A new fast algorithm has been developed for fitting the curve to the borders of the region. The method includes a two-stage process which detects boundary points and directly calculates the model parameters. The method has been tested on MR images from patients with myocardial infarction. Results show that the infarcted region modeling method performs well, being fast, accurate and relatively insensitive to image noise and inhomogeneities
  • Keywords
    biomedical NMR; cardiology; curve fitting; edge detection; medical image processing; physiological models; Fourier decomposition; MRI images; boundary points; contour deformable model; fast algorithm; image inhomogeneities; image noise; infarcted myocardium regions; magnetic resonance imaging; medical diagnostic imaging; model parameters; semiautomatic method; successive slice images; two-stage process; Biomedical informatics; Curve fitting; Deformable models; Heart; Magnetic noise; Magnetic resonance imaging; Mathematical model; Myocardium; Parametric statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1995
  • Conference_Location
    Vienna
  • Print_ISBN
    0-7803-3053-6
  • Type

    conf

  • DOI
    10.1109/CIC.1995.482560
  • Filename
    482560