• DocumentCode
    2681823
  • Title

    Near-Infrared Imaging Approach for in vivo Detecting the Distribution of Human Blood Vessels

  • Author

    Jin Yao ; Jing Zhao ; Cui-ying Hu

  • Author_Institution
    Coll. of Sci., South China Agric. Univ., Guangzhou, China
  • fYear
    2012
  • fDate
    28-30 May 2012
  • Firstpage
    841
  • Lastpage
    844
  • Abstract
    The near-infrared diffuse reflectance imaging method is presented to detect the distribution of blood vessels at body surfaces in the paper. In the experimental system, the near-infrared LED was used as the light source, the low-noise CMOS camera sensor combining with a filter was used as the detector, the computer was used as the data-processing terminal. After the system had been set up, two groups of photos for the hand and the arm were taken respectively. One group was taken under the nature light, the other group was taken under the near-infrared LEDs. The distribution of the blood vessels cannot be got in the first group of photos, while they can be got in the second group of photos. The results show that the near-infrared imaging method could be used to detect blood vessels noninvasively and conveniently.
  • Keywords
    CMOS image sensors; biomedical optical imaging; blood; blood vessels; filters; infrared imaging; infrared sources; light emitting diodes; optical tomography; reflectivity; body surfaces; data processing; filter; human blood vessels; light source; low-noise CMOS camera sensor; near-infrared LED; near-infrared diffuse reflectance imaging; Biomedical imaging; Blood vessels; Gray-scale; Humans; Light emitting diodes; Light sources; Spectroscopy; blood vessels distribution; near-infrared LED array; near-infrared imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4577-1987-5
  • Type

    conf

  • DOI
    10.1109/iCBEB.2012.281
  • Filename
    6245252