• DocumentCode
    534458
  • Title

    Glomerular Filtration Rate measurement based on multiphasic helical CT images with three-compartment model

  • Author

    Li, Hong ; Cai, Qing ; Geng, Ping ; Gong, Jianping ; Kang, Yan ; Liu, Jiren

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1199
  • Lastpage
    1203
  • Abstract
    CT (Computed Tomography) can provide doctors not only the accurate information regarding the anatomy, but also the capability of functional analysis. This paper proposed a CT GFR (Glomerular Filtration Rate) calculation method based on three-compartment model and the Patlak plot technique. Considering the complexity of the model system, the optimization method was employed to solve the system. The method was evaluated in 15 patients (8 males and 7 females, age range 22 to 74, and the weight range 37.5 to 90kg) without acute renal disorder. The CT scan protocol consisted of an un-enhanced examination followed by two contrast enhanced examinations in the arterial phase and the parenchymal phase. Between the non-contrast scan and the arterial scan, 7 dynamic scans were obtained to get more data about arterial input function. For each patient performed above study, the Cystatin C determined in blood specimens was employed as a reference. The correlation between three-compartment model and cystatin C method in 15 patients was 0.8797 (P<;;0.001), while the correlation between two-compartment model and cystatin C was 0.7691(P<;;0.001).
  • Keywords
    biomedical measurement; blood vessels; computerised tomography; diagnostic radiography; kidney; medical disorders; optimisation; physiological models; CT scan protocol; Cystatin C; Patlak plot; arterial phase; blood; computed tomography; glomerular filtration rate measurement; multiphasic helical CT images; optimization; parenchymal phase; three-compartment model; Attenuation; Attenuation measurement; Computed tomography; Correlation; Filtration; Kidney; Mathematical model; CT; GFR; three-compartment 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.2010.5639301
  • Filename
    5639301