• DocumentCode
    534579
  • Title

    Study on navigation path correction in neuro-navigation based on near infrared spectroscopy

  • Author

    Zhu, Xiaofen ; Tao, Ling

  • Author_Institution
    Dept. of Biomed. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • Volume
    5
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1881
  • Lastpage
    1885
  • Abstract
    At present, navigation path deviation caused by brain shift is the main factor that affects the accuracy of neurosurgical navigation. A new method of near infrared spectroscopy (NIRS) based neurosurgical navigation is presented in the paper. The correlation between NIRS optical parameters and medical image is used and the gray information of navigation path is regarded as the priori knowledge, the curvatures of sample-points are calculated by Hermite interpolation and the Mean Hausdorff distance as measurement criterion is used to match feature segments, then the real-time correction model is established. The algorithm of the given model is simple and can realize the best match within the error, and it provides an effective method for real-time navigation path correction.
  • Keywords
    biomedical optical imaging; brain; feature extraction; infrared spectroscopy; medical image processing; navigation; Hermite interpolation; NIRS optical parameters; brain shift; feature segment matching; gray information; mean Hausdorff distance; medical image; navigation path correction; navigation path deviation; near infrared spectroscopy; neuronavigation; neurosurgical navigation; Adaptive optics; Biomedical optical imaging; Interpolation; Navigation; Optical imaging; Real time systems; Surgery; discrete curvature; gray information; mean hausdorff distance; near infrared spectroscopy(NIRS); real-time correction model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639548
  • Filename
    5639548