• DocumentCode
    1079472
  • Title

    Noninvasive quantification of the differential portal and arterial contribution to the liver blood supply from PET measurements using the 11C-acetate kinetic model

  • Author

    Chen, Sirong ; Feng, Dagan

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China
  • Volume
    51
  • Issue
    9
  • fYear
    2004
  • Firstpage
    1579
  • Lastpage
    1585
  • Abstract
    Our recent research has demonstrated that 11C-acetate could be a complementary tracer to 18F-fluorodeoxyglucose (FDG) in positron emission tomography (PET) imaging of hepatocellular carcinoma (HCC). In our previous modeling study, a three-compartment four-parameter model with a fixed contribution ratio of the liver´s two blood supplies was proposed to characterize the kinetic behavior of 11C-acetate in liver. However, in real pathology, both tumor and nontumor liver tissue can be heterogeneous in the distribution and proportion of the two blood supplies. To further improve the accuracy of quantitative analysis, the actual proportion of the hepatic artery and portal vein (PV) in different regions of interest (ROIs) was investigated in this study. An extra parameter av was included in the model input function to describe the contribution of PV to the liver. Ten ROIs extracted from six patients were used to test the models with fixed/nonfixed weighted dual-input function. The weighted nonlinear least squares algorithm was used to estimate all of the parameters. Evaluation of the adequacy of the two models was conducted and the computer simulation was performed to test the estimation accuracy of the new model. The forward clearance K was also estimated by the linear Patlak method. The results show that the model with parameter av in the input function was more suitable for mapping the tracer time activity curves. Moreover, the estimated av value fits the practical physiological and pathological conditions well and could be a potential candidate to provide useful additional diagnostic information for the early detection of hepatic metastases.
  • Keywords
    blood; blood vessels; cancer; carbon; least squares approximations; liver; medical image processing; parameter estimation; positron emission tomography; radioactive tracers; tumours; /sub 18/F-fluorodeoxyglucose; /sup 11/C-acetate kinetic model; additional diagnostic information; arterial liver blood supply contribution; fixed weighted dual-input function; hepatic artery; hepatic metastases; hepatocellular carcinoma; linear Patlak method; liver tumor; nonfixed weighted dual-input function; nontumor liver tissue; parameter estimation; portal liver blood supply contribution; portal vein; positron emission tomography imaging; three-compartment four-parameter model; tracer time activity curves; weighted nonlinear least squares algorithm; Arteries; Blood; Kinetic theory; Least squares approximation; Liver neoplasms; Pathology; Portals; Positron emission tomography; Testing; Veins; Acetates; Blood Flow Velocity; Carbon; Carcinoma, Hepatocellular; Computer Simulation; Feasibility Studies; Hepatic Artery; Hepatitis C; Humans; Image Interpretation, Computer-Assisted; Kinetics; Liver; Liver Circulation; Liver Neoplasms; Metabolic Clearance Rate; Models, Biological; Portal System; Radioisotope Dilution Technique; Radiopharmaceuticals; Reproducibility of Results; Sensitivity and Specificity; Tomography, Emission-Computed;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2004.828032
  • Filename
    1325818