• DocumentCode
    2958019
  • Title

    MRI brain image segmentation using an AM-FM model

  • Author

    Patichis, M.S. ; Petropoulos, Helen ; Brooks, William M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    Oct. 29 2000-Nov. 1 2000
  • Firstpage
    906
  • Abstract
    MRI brain images are characterized by non-stationary components that make fully automated segmentation a challenging task. An AM-FM model is used to model these non-stationarities. Using the AM-FM model, a new, fully automated texture segmentation system is used to automatically segment the cerebellum from a 3-D set of MRI brain images.
  • Keywords
    amplitude modulation; biomedical MRI; brain; frequency modulation; image segmentation; image texture; medical image processing; 3D MRI brain images; AM-FM model; MRI brain image segmentation; amplitude modulation; automated segmentation; automated texture segmentation system; cerebellum; dominant component analysis; frequency modulation; nonstationary components; Algorithm design and analysis; Brain modeling; Electronic mail; Image analysis; Image converters; Image segmentation; Magnetic resonance; Magnetic resonance imaging; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-6514-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.2000.910646
  • Filename
    910646
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2958019