• DocumentCode
    1611084
  • Title

    Exponential Entropy Driven HUM on Knee MR Images

  • Author

    Ardizzone, Edoardo ; Pirrone, Roberto ; Gambino, Orazio

  • Author_Institution
    Dipartimento di Ingegneria Informatica, Palermo Univ.
  • fYear
    2006
  • Firstpage
    1769
  • Lastpage
    1772
  • Abstract
    A very important artifact corrupting magnetic resonance images is the RF inhomogeneity. This kind of artifact generates variations of illumination which trouble both direct examination by the doctor and segmentation algorithms. Even if homomorphic filtering approaches have been presented in literature, none of them has developed a measure to determine the cut-off frequency. In this work we present a measure based on information theory with a large experimental setup aimed to demonstrate the validity of our approach
  • Keywords
    biomedical MRI; entropy; filtering theory; image segmentation; medical image processing; HUM; RF inhomogeneity; artifact; exponential entropy; homomorphic filtering; homomorphic unsharp masking; information theory; knee MR images; magnetic resonance images; segmentation algorithms; Cutoff frequency; Entropy; Filtering; Frequency measurement; Image segmentation; Knee; Lighting; Magnetic resonance; Magnetic separation; Radio frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616789
  • Filename
    1616789