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First published online June 30, 2008
British Journal of Radiology (2008) 81, 790-800
© 2008 British Institute of Radiology
doi: 10.1259/bjr/52166324
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British Journal of Radiology 81 (2008),790-800 ©2008 The British Institute of Radiology

Full paper

A quantitative method for estimating hepatic blood flow using a dual-input single-compartment model

S MIYAZAKI, MS 1 K MURASE, PhD 1 T YOSHIKAWA, MD 2 S MORIMOTO, BS 1 Y OHNO, MD 2 and K SUGIMURA, MD 2

1 Department of Medical Physics and Engineering, Faculty of Health Science, Graduate School of Medicine, Osaka University, 1-7 Yamadaoka, Suita-shi, Osaka 565-0871, 2 Department of Radiology, Graduate School of Medicine, Kobe University, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan

Correspondence: Kenya Murase, Department of Medical Physics and Engineering, Division of Medical Technology and Science, Faculty of Health Science, Graduate School of Medicine, Osaka University, 1-7 Yamadaoka, Suita, Osaka 565-0871, Japan. E-mail: murase{at}sahs.med.osaka-u.ac.jp

The purpose of this study was to investigate the accuracy of a quantitative method for estimating arterial hepatic blood flow and portal hepatic blood flow separately using a dual-input single-compartment model compared with the maximum slope method using computer simulations and clinical data. In computer simulations, the rate constants for the transfer of contrast agent (CA) from the hepatic artery to the liver (K1a), from the portal vein to the liver (K1p) and from the liver to the blood (k2) were estimated from simulated time–density curves with various transit times of CA from the aorta to the liver ({tau}a) and from the portal vein to the liver ({tau}p) using the linear least-squares (LLSQ) method. In clinical studies, dynamic CT data were acquired from 27 patients, and parametric maps of K1a, K1p and k2 were generated by applying the LLSQ method pixel by pixel. In simulation studies, {tau}a and {tau}p were found to have a large and a small effect on the estimates of K1a and K1p, respectively. In clinical studies, the K1a and K1p values estimated with the maximum slope method were underestimated by 60±29% and 37±12%, respectively, compared with those estimated by the LLSQ method. In conclusion, our results suggest that correction of {tau}a is necessary for accurately estimating K1a and K1p. Our method is therefore promising for the evaluation of hepatic blood flow in various liver diseases because it allows us to evaluate arterial hepatic blood flow and portal hepatic blood flow separately and visually.






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