• DocumentCode
    3173745
  • Title

    Contour detection of short axis slice MR images for contraction irregularity assessment

  • Author

    Muller, A. ; Neitmann, A. ; Merkle, N. ; Wohrle, J. ; Hombach, V. ; Kestler, Ha

  • Author_Institution
    Internal Medicine I, Univ. Hosp. Ulm
  • fYear
    2005
  • fDate
    25-28 Sept. 2005
  • Firstpage
    21
  • Lastpage
    24
  • Abstract
    A new method for automatically detecting left ventricular endocardial borders in cardiac MRI short-axis slices was applied to a previously published patient group for which manually drawn contours already existed. An initial point lying in the left ventricular endocardium was found by a size invariant circular Hough transform. A coarse segmentation of the endocardial region was completed by merging surrounding regions and building the convex hull. Adjacent time frames were used to remove jitter from the contour movements. A feature (IRM), extracted from those contours, quantified the irregularities of left ventricular contractions. Patients with dilated cardiomyopathy were separated from the control group by thresholding the IRM parameter
  • Keywords
    Hough transforms; biomedical MRI; cardiology; diseases; edge detection; feature extraction; image segmentation; medical image processing; cardiac MRI short-axis slices; coarse endocardial segmentation; contour detection; contour movement; contraction irregularity assessment; dilated cardiomyopathy; feature extraction; irregularities quantification; jitter removal; left ventricular contraction; left ventricular endocardial border detection; size invariant circular Hough transform; Biomedical imaging; Cardiology; Feature extraction; Heart; Hospitals; Jitter; Magnetic resonance imaging; Merging; Pacemakers; Phase measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2005
  • Conference_Location
    Lyon
  • Print_ISBN
    0-7803-9337-6
  • Type

    conf

  • DOI
    10.1109/CIC.2005.1588023
  • Filename
    1588023