• DocumentCode
    978292
  • Title

    Automated left ventricular segmentation in cardiac MRI

  • Author

    Pednekar, A. ; Kurkure, Uday ; Muthupillai, R. ; Flamm, S. ; Kakadiaris, Ioannis A.

  • Author_Institution
    MR Clinical Sci. Group, Philips Med. Syst. North America, Bothell, WA, USA
  • Volume
    53
  • Issue
    7
  • fYear
    2006
  • fDate
    7/1/2006 12:00:00 AM
  • Firstpage
    1425
  • Lastpage
    1428
  • Abstract
    We present an automated left ventricular (LV) myocardial boundary extraction method. Automatic localization of the LV is achieved using a motion map and an expectation maximization algorithm. The myocardial region is then segmented using an intensity-based fuzzy affinity map and the myocardial contours are extracted by cost minimization through a dynamic programming approach. The results from the automated algorithm compared against the experienced radiologists using Bland and Altman analysis were found to have consistent mean bias of 7% and limits of agreement comparable to the inter-observer variability inherent in the manual method.
  • Keywords
    biomedical MRI; blood vessels; cardiovascular system; expectation-maximisation algorithm; fuzzy set theory; image segmentation; medical image processing; Altman analysis; Bland analysis; automated left ventricular segmentation; cardiac MRI; cost minimization; dynamic programming; expectation maximization algorithm; intensity-based fuzzy affinity map; interobserver variability; motion map; myocardial boundary extraction; myocardial contours; radiologists; Biomedical computing; Biomedical imaging; Computer science; Dynamic programming; Heart; Image segmentation; Magnetic resonance imaging; Myocardium; Radiology; Shape; Ejection fraction; fuzzy connectedness; image segmentation; left ventricle; Adult; Algorithms; Artificial Intelligence; Female; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Magnetic Resonance Imaging; Male; Middle Aged; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Stroke Volume; Ventricular Dysfunction, Left;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2006.873684
  • Filename
    1643412