• DocumentCode
    154115
  • Title

    Skin perfusion photography

  • Author

    Satat, Guy ; Barsi, Christopher ; Raskar, Ramesh

  • Author_Institution
    Media Lab., MIT, Cambridge, MA, USA
  • fYear
    2014
  • fDate
    2-4 May 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The separation of global and direct light components of a scene is highly useful for scene analysis, as each component offers different information about illumination-scene-detector interactions. Relying on ray optics, the technique is important in computational photography, but it is often under appreciated in the biomedical imaging community, where wave interference effects are utilized. Nevertheless, such coherent optical systems lend themselves naturally to global-direct separation methods because of the high spatial frequency nature of speckle interference patterns. Here, we extend global-direct separation to laser speckle contrast imaging (LSCI) system to reconstruct speed maps of blood flow in skin. We compare experimental results with a speckle formation model of moving objects and show that the reconstructed map of skin perfusion is improved over the conventional case.
  • Keywords
    biomedical optical imaging; digital photography; haemorheology; image reconstruction; light interference; medical image processing; natural scenes; ray tracing; skin; speckle; LSCI system; biomedical imaging; blood flow; coherent optical systems; computational photography; direct light components; global light components; global-direct separation method; illumination scene-detector interaction; laser speckle contrast imaging; moving object formation model; ray optics; scene analysis; skin perfusion photography; speckle interference pattern; speed maps reconstruction; wave interference effect; Image reconstruction; Imaging; Interference; Lighting; Scattering; Skin; Speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Photography (ICCP), 2014 IEEE International Conference on
  • Conference_Location
    Santa Clara, CA
  • Type

    conf

  • DOI
    10.1109/ICCPHOT.2014.6831804
  • Filename
    6831804