• DocumentCode
    1429139
  • Title

    AM-FM texture segmentation in electron microscopic muscle imaging

  • Author

    Pattichis, Marios S. ; Pattichis, Constantinos S. ; Avraam, Maria ; Bovik, Alan ; Kyriacou, Kyriacos

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
  • Volume
    19
  • Issue
    12
  • fYear
    2000
  • Firstpage
    1253
  • Lastpage
    1257
  • Abstract
    Describes the application of an amplitude modulation-frequency modulation (AM-FM) image representation in segmenting electron micrographs of skeletal muscle for the recognition of: (1) normal sarcomere ultrastructural pattern and (2) abnormal regions that occur in sarcomeres in various myopathies. A total of 26 electron micrographs from different myopathies mere used for this study. It is shown that the AM-FM image representation can identify normal repetitive structures and sarcomeres, with a good degree of accuracy. This system can also detect abnormalities in sarcomeres which alter the normal regular pattern, as seen in muscle pathology, with a recognition accuracy of 75%-84% as compared to a human expert.
  • Keywords
    amplitude modulation; diseases; electron microscopy; frequency modulation; image representation; image segmentation; image texture; medical image processing; muscle; AM-FM texture segmentation; abnormal regions; electron microscopic muscle imaging; human expert; muscle pathology; normal sarcomere ultrastructural pattern; recognition accuracy; sarcomere abnormalities detection; Amplitude modulation; Biopsy; Electron microscopy; Humans; Image recognition; Image representation; Image segmentation; Muscles; Pattern recognition; Structural rods; Humans; Microscopy, Electron; Mitochondrial Myopathies; Muscle, Skeletal; Myopathies, Nemaline; Myopathies, Structural, Congenital; Sarcomeres;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.897818
  • Filename
    897818