• DocumentCode
    3306195
  • Title

    Fractal dimension estimation and its applicability to biomedical image analysis

  • Author

    Sarangan, Venkatesh ; Chugh, Kevin ; Ke, C.C. ; Swarnakar, Vivek ; Acharya, Raj

  • Author_Institution
    Dept. of Comput. Sci. & Eng., State Univ. of New York, Buffalo, NY, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    36434
  • Abstract
    It is proposed to use the fractal dimension estimation techniques “Alternating Sequential Filter (ASF)” and “Continuous Alternating Sequential Filter (CASF)” to differentiate normal bones from bones that have osteoporosis. Comparison of our methods with existing techniques is done to show the efficacy of our methods. We compare our methods to Power Spectrum Maximum Likelihood Estimation (MLE) and Morphological Dilation methods of estimating the fractal dimension. Results on synthetic and real life images are presented
  • Keywords
    bone; diagnostic radiography; filtering theory; fractals; medical image processing; ASF; Alternating Sequential Filter; CASF; Continuous Alternating Sequential Filter; Morphological Dilation methods; Power Spectrum Maximum Likelihood Estimation; biomedical image analysis; fractal dimension estimation; normal bones; osteoporosis; real life images; synthetic images; Biomedical engineering; Biomedical imaging; Bones; Computer science; Filters; Fractals; Image analysis; Maximum likelihood estimation; Osteoporosis; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    [Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
  • Conference_Location
    Atlanta, GA
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5674-8
  • Type

    conf

  • DOI
    10.1109/IEMBS.1999.804057
  • Filename
    804057