• DocumentCode
    3076677
  • Title

    High resolution mapping of cortical blood flow by mosaicing the laser speckle images

  • Author

    Yu, Jing ; Miao, Peng ; Li, Minheng ; Qiu, Yihong ; Zhu, Yisheng ; Tong, Shanbao

  • Author_Institution
    Department of biomedical engineering, Shanghai Jiao Tong University, China
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    3743
  • Lastpage
    3746
  • Abstract
    Laser speckle imaging (LSI) has been implemented as a tool of acquiring two dimensional blood flow information. Using vascular segmentation techniques, we are able to obtain the cortical vascular blood flow distribution. Nevertheless, the conventional LSI methods have limitations of small imaging area and low dynamic range of contrast due to the ambient background field, dark current and anomalies in the circuits of CCD camera. In this study, we introduced an enhanced laser speckle contrast analysis (eLASCA) to improve the dynamic range of LASCA, then a high resolution of cerebral blood flow (CBF) was obtained by image mosaicing technique, including image registration and image fusion. The eLASCA-based LSI mosaicing provides global anatomic details of cortical microvessels as well as the cortical vascular blood flow information.
  • Keywords
    Blood flow; Charge coupled devices; Circuits; Dark current; Dynamic range; High-resolution imaging; Image resolution; Image segmentation; Large scale integration; Speckle; Algorithms; Animals; Blood Flow Velocity; Brain; Cerebrovascular Circulation; Diagnosis, Computer-Assisted; Equipment Design; Image Processing, Computer-Assisted; Lasers; Male; Mice; Mice, Inbred C57BL; Quality Control; Rheology; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650022
  • Filename
    4650022