• DocumentCode
    2710522
  • Title

    Mueller matrix imaging for cancer detection

  • Author

    Baldwin, A.M. ; Chung, J.R. ; Baba, J.S. ; Spiegelman, C.H. ; Amos, M.S. ; Coté, G.L.

  • Author_Institution
    Dept. of Biomed. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    2
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    1027
  • Abstract
    The Mueller matrix completely describes the optical polarization properties of a material. These properties are known to change with size of scatterers, birefringence, and number of scatterers. In cancerous and normal cells and tissues all of the above properties can change and therefore this approach can potentially be used to distinguish between non-cancerous and cancerous tissues. In this paper, an automated Mueller matrix polarization imaging system (AMMPIS) is described that measures the Mueller matrix of a tissue sample. Mueller matrix images of normal, benign mole and cancerous lesions in Sinclair swine are presented along with a statistical analysis showing above 90% sensitivity and specificity for cancer detection with this approach.
  • Keywords
    backscatter; bio-optics; biomedical optical imaging; cancer; cellular biophysics; polarimetry; skin; statistical analysis; Mueller matrix imaging; automated Mueller matrix polarization imaging system; backscattering; cancer detection; cancerous lesions; cancerous tissue; noncancerous tissue; normal cell; normal tissue; optical polarization property; polarimetry; skin cancer; statistical analysis; Biological materials; Birefringence; Cancer detection; Lesions; Optical imaging; Optical materials; Optical polarization; Optical scattering; Optical sensors; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1279419
  • Filename
    1279419