• DocumentCode
    3229049
  • Title

    AM-FM analysis over spatially bounded domains for applications in medical imaging

  • Author

    Pattichis, Marias S. ; Murray, Victor

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA
  • fYear
    2009
  • fDate
    4-7 Nov. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    AM-FM analysis methods have been used in several biomedical imaging applications. In this paper, we are interested in the development of AM-FM analysis methods for small components, regions of interests (ROIs), and segmented objects. For detecting small components, we propose the use of a new multi-scale AM-FM edge and peak analysis system. The new system uses the product of gradient estimates from multiple scales. For small ROIs, we propose the use of a new nested optimization scheme. We show that separable designs based on 1-D designs with 15 coefficients can lead to excellent AMFM estimates.
  • Keywords
    amplitude modulation; biomedical imaging; edge detection; frequency modulation; medical signal detection; optimisation; AM-FM analysis; biomedical imaging; edge detection; multiscale methods; nested optimization scheme; peak analysis system; regions of interests; segmented objects; small component detection; spatially bounded domains; Biomedical imaging; Biomedical optical imaging; Frequency; Image analysis; Image edge detection; Image segmentation; Information analysis; Optical imaging; Pixel; Ultrasonic imaging; am-fm methods; edge detection; multi-scale methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications in Biomedicine, 2009. ITAB 2009. 9th International Conference on
  • Conference_Location
    Larnaca
  • Print_ISBN
    978-1-4244-5379-5
  • Electronic_ISBN
    978-1-4244-5379-5
  • Type

    conf

  • DOI
    10.1109/ITAB.2009.5394450
  • Filename
    5394450