• DocumentCode
    1838143
  • Title

    Mueller Matrix Group Theory Formalism for Tissue Imaging Polarimetry Contrast Increase

  • Author

    Fanjul-Velez, F. ; Samperio-Garcia, D. ; Pereda-Cubian, D. ; Arce-Diego, J.L.

  • Author_Institution
    Univ. of Cantabria, Santander
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    3339
  • Lastpage
    3342
  • Abstract
    Optical characterization techniques provide a new approach to diagnostic imaging, with features such as a noninvasive or nonionizing character, as long as a resolution improvement. Intensity based measurements could be not enough for certain cases, and polarization information should be also used as a contrast parameter. Imaging polarimetry could be useful in many biomedical applications like dermatology or ophthalmology. Furthermore, it could be applied to the study of internal tissues through the use of optical fiber endoscopes, much less invasive that conventional biopsy. In this work the use of polarization parameters like the entropy factor, polarization components crosstalks or linear and circular polarization degrees is proposed as a way of improving tissue imaging contrast.
  • Keywords
    biological tissues; biomedical optical imaging; endoscopes; group theory; light polarisation; polarimetry; Mueller matrix group theory formalism; contrast parameter; dermatology; diagnostic imaging; internal tissues; ophthalmology; optical characterization; optical fiber endoscopes; polarization information; tissue imaging polarimetry contrast increase; Biomedical imaging; Biomedical measurements; Biomedical optical imaging; Biopsy; Endoscopes; Image resolution; Optical fiber polarization; Optical fibers; Optical imaging; Polarimetry; Algorithms; Computer Simulation; Diagnostic Imaging; Image Interpretation, Computer-Assisted; Models, Biological; Refractometry; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353045
  • Filename
    4353045