• DocumentCode
    1598914
  • Title

    Analysis of ICG Pharmacokinetics in Cancerous Tumors using NIR Optical Methods

  • Author

    Alacam, Burak ; Yazici, Birsen ; Intes, Xavier ; Chance, Britton

  • Author_Institution
    Dept. of Electr., Comput., Syst. Eng., Rensselaer Polytech. Inst., Troy, NY
  • fYear
    2006
  • Firstpage
    62
  • Lastpage
    65
  • Abstract
    In this paper, we present three different compartmental models to model the pharmacokinetics of Indocyanine green (ICG) in cancerous tumors. We introduce a systematic and robust method to analyze ICG pharmacokinetics based on extended Kalman filtering (EKF) framework. We introduced information theoretic criteria for best compartmental model selection in terms of statistical fit. We tested our approach using the ICG concentration data acquired from four Fischer rats carrying adenocarcinoma tumor cells collected using near infrared (NIR) techniques. Our study indicates that, in addition to the pharmacokinetic rates and ICG concentrations in different compartments, EKF model may provide parameters that may be useful for cancerous tumor differentiation
  • Keywords
    Kalman filters; biomedical optical imaging; cancer; cellular biophysics; drugs; dyes; information theory; physiological models; statistical analysis; tumours; Fischer rats; ICG pharmacokinetics; Indocyanine green; NIR optical methods; adenocarcinoma tumor cells; cancerous tumor differentiation; cancerous tumors; compartmental models; extended Kalman filtering; information theoretic criteria; statistical fit; Biomedical optical imaging; Filtering; Kalman filters; Neoplasms; Optical filters; Parameter estimation; Permeability; Rats; Robustness; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616342
  • Filename
    1616342