• DocumentCode
    2600654
  • Title

    Empirical analysis of LIBS images using the nonlinear diffusion method

  • Author

    Tameze, Claude ; Vincelette, Robert ; Melikechi, Noureddine ; Zeljkovic, Vesna

  • Author_Institution
    Delaware State Univ., Dover
  • fYear
    2007
  • fDate
    12-14 Sept. 2007
  • Firstpage
    23
  • Lastpage
    26
  • Abstract
    We are investigating the use of the laser induced breakdown spectroscopy, (LIBS), on blood samples of mice to detect the earliest stages of epithelial ovarian cancer (EOC). A laser changes a blood samples to plasma state and the images produced thereby are analyzed. By comparing LIBS images of blood from EOC positive mice to those of cancer free mice, our goal is to identify differences by which we can detect those in early EOC stages. We apply an improved nonlinear diffusion filter to enhance relevant image edges and to remove noise and irrelevant texture.
  • Keywords
    blood; cancer; image denoising; image enhancement; laser applications in medicine; medical image processing; spectroscopic light sources; LIBS images; epithelial ovarian cancer; image denoising; image edge enhancement; image texture; laser induced breakdown spectroscopy; nonlinear diffusion filter; nonlinear diffusion method; Blood; Cancer detection; Electric breakdown; Filters; Image analysis; Image edge detection; Laser transitions; Mice; Plasmas; Spectroscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ELMAR, 2007
  • Conference_Location
    Zadar
  • ISSN
    1334-2630
  • Print_ISBN
    978-953-7044-05-3
  • Type

    conf

  • DOI
    10.1109/ELMAR.2007.4418792
  • Filename
    4418792