• DocumentCode
    1520818
  • Title

    Approximation of Internal Refractive Index Variation Improves Image Guided Diffuse Optical Tomography of Breast

  • Author

    Jagannath, Ravi Prasad K ; Yalavarthy, Phaneendra K.

  • Author_Institution
    Supercomput. Educ. & Res. Centre, Indian Inst. of Sci., Bangalore, India
  • Volume
    57
  • Issue
    10
  • fYear
    2010
  • Firstpage
    2560
  • Lastpage
    2563
  • Abstract
    Effective usage of image guidance by incorporating the refractive index (RI) variation in computational modeling of light propagation in tissue is investigated to assess its impact on optical-property estimation. With the aid of realistic patient breast three-dimensional models, the variation in RI for different regions of tissue under investigation is shown to influence the estimation of optical properties in image-guided diffuse optical tomography (IG-DOT) using numerical simulations. It is also shown that by assuming identical RI for all regions of tissue would lead to erroneous estimation of optical properties. The a priori knowledge of the RI for the segmented regions of tissue in IG-DOT, which is difficult to obtain for the in vivo cases, leads to more accurate estimates of optical properties. Even inclusion of approximated RI values, obtained from the literature, for the regions of tissue resulted in better estimates of optical properties, with values comparable to that of having the correct knowledge of RI for different regions of tissue.
  • Keywords
    bio-optics; biological organs; biological tissues; biomedical optical imaging; image reconstruction; image registration; light propagation; mammography; medical image processing; optical tomography; refractive index; IG-DOT; RI; breast; image guided diffuse optical tomography; image reconstruction; image registration; internal refractive index variation; light propagation; three-dimensional models; tissue; Biomedical optical imaging; image reconstruction; image registration; optical tomography; Algorithms; Breast; Breast Neoplasms; Computer Simulation; Female; Humans; Image Processing, Computer-Assisted; Models, Biological; Refractometry; Tomography, Optical;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2010.2053368
  • Filename
    5491101