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Automated detection of the left ventricular region in magnetic resonance images by Fuzzy C-Means model

The International Journal of Cardiac Imaging volume 13, pages 347–355 (1997)Cite this article

Abstract

A new method for automated detection of the Left Ventricular (LV) region in Magnetic Resonance Imaging is presented. This method is based on the Fuzzy c-Means (FCM) clustering algorithm. The FCM is applied to each static frame of the cardiac cycle to detect the LV region. Delineation of this region is essential in the quantitative analysis of the cardiac function. The effectiveness of the method is demonstrated by application to sequences of cardiac images.

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Affiliations

  1. Laboratoire de Biophysique, Facultée Médecine René Laënnec, rue Guillaume Paradin, 69372, Lyon, France

    Abd-El-Ouahab Boudraa

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  1. Abd-El-Ouahab Boudraa
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Boudraa, AEO. Automated detection of the left ventricular region in magnetic resonance images by Fuzzy C-Means model. Int J Cardiovasc Imaging 13, 347–355 (1997). https://doi.org/10.1023/A:1005755819752

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  • DOI: https://doi.org/10.1023/A:1005755819752

  • magnetic resonance images
  • fuzzy sets
  • optimization
  • fuzzy clustering
  • segmentation