• DocumentCode
    2087719
  • Title

    A Practical Method for Muscles Extraction and Automatic Segmentation of Leg Magnetic Resonance Images

  • Author

    Wang, Changming ; Guo, Xiaojuan ; Yao, Li ; Li, Ke ; Jin, Zhen

  • Author_Institution
    Beijing Normal Univ., Normal
  • fYear
    2007
  • fDate
    23-27 May 2007
  • Firstpage
    885
  • Lastpage
    890
  • Abstract
    A method is introduced for leg muscles extraction and segmentation of MR images. For leg segmentation, an integrated algorithm is proposed for practical application. And the BPV (Block Pixel Variation) method is involved to adjust the inhomogeneity in the brightness distribution. Then the bones region is removed according to contours defined by the simplified deformable models. In addition, the spatial enclosing relationship between the tissue regions is abstracted as a feature for segmentation. Finally, the various noises remained in the ROI of the images are eliminated based on the specific models instead of filtering. The validity and accuracy are tested based on the MR images of legs, and the volumes of muscles are calculated accurately.
  • Keywords
    biomedical MRI; bone; feature extraction; image segmentation; medical image processing; muscle; automatic segmentation; block pixel variation; bones region; brightness distribution; deformable models; inhomogeneity; integrated algorithm; leg muscles; magnetic resonance images; Biomedical imaging; Bones; Brightness; Data mining; Image segmentation; Leg; Magnetic resonance; Magnetic resonance imaging; Muscles; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1077-4
  • Electronic_ISBN
    978-1-4244-1078-1
  • Type

    conf

  • DOI
    10.1109/ICCME.2007.4381868
  • Filename
    4381868