JBiSE  Vol.1 No.2 , August 2008
An image analysis method for quantification of hepatic perfusion based on contrast-enhanced ultrasound imaging
Abstract: Information about hepatic perfusion is used in clinical liver disease diagnosis. An image analy-sis system can help physicians make efficient and accurate diagnosis. The objective of this study is to propose an image analysis method for the quantification of the hepatic perfusion based on contrast-enhanced ultrasound imaging (CEUI). The proposed method contains frame selection, image registration, digital subtraction and grey-scale calculation. Then, by processing an image sequence, a time-intensity curve (TIC) for hepatic perfusion is derived. The kernel of this image analysis technology is digital subtrac-tion and its accuracy is improved by frame selec-tion and image registration. The advantage of this method is that it can obtain the perfusion information of the whole liver which is rarely ob-tained by traditional image analysis technology; therefore, it is a supplement of the traditional image analysis method. This method is applied on the quantification of a rabbit’s hepatic perfu-sion and the result shows the efficiency of it.
Cite this paper: nullLi, Y. , Yang, F. and Gu, N. (2008) An image analysis method for quantification of hepatic perfusion based on contrast-enhanced ultrasound imaging. Journal of Biomedical Science and Engineering, 1, 116-120. doi: 10.4236/jbise.2008.12019.

[1]   D.L. Thomas, M.F. Lythgoe, G.S. Pell, et al. (2000) The meas-urement of diffusion and perfusion in biological systems using magnetic resonance imaging, Phys Med Biol, 45, 97–138.

[2]   R. Materne, B.E. Van Beers, A.M. Smith, et al. (2000) Non-invasive quantification of liver perfusion with dynamic computed tomography and a dual-input one-compartmental model. Clinical Science, 99, 517–525.

[3]   B.E. Van Beers, I. Leconte, R. Materne, et al. (2001) Hepatic perfusion parameters in chronic liver disease: dynamic CT meas-urements correlated with disease severity. AJR, 176, 667–673.

[4]   R. Thomas (2007) Focal liver lesions: Role of contrast-enhanced ultrasound. European Journal of Radiology, 64, 173–182.

[5]   E.G. Schutt, D.H. Klein, R.M. Mattrey, et al. (2003) Injectable microbubbles as contrast agents for diagnostic ultrasound imag-ing: the key role of perfluorochemicals. Angew Chem Int Ed, 42, 3218–3235.

[6]   C. Serra, M. Guido, M. Antonio, et al. (2007) Ultrasound as-sessment of vascularization of the thickened terminal ileum wall in Crohn’s disease patients using a low-mechanical index real-time scanning technique with a second generation ultrasound contrast agent. European Journal of Radiology, 62, 114–121.

[7]   T.D. Zordo, S.P. Mlekusch, G.M. Feuchtner, et al. (2007) Value of contrast-enhanced ultrasound in rheumatoid arthritis, Euro-pean Journal of Radiology, 64, 222–230.

[8]   S.J. Rim, H. Leong-Poi, J.R. Lindner, et al. (2001) Quantification of cerebral perfusion with "real-time" contrast-enhanced ultra-sound. Circulation, 104, 2582-2587.

[9]   S. Malm, S. Frigstad, F. Helland, et al. (2005) Quantification of resting myocardial blood flow velocity in normal humans using real-time contrast echocardiography: A feasibility study. Cardio-vascular Ultrasound, 3, 16.

[10]   K. Wei, E. Le, J.P. Bin, et al. (2001) Quantification of renal blood flow with contrast-enhanced ultrasound, J Am Coll Cardiol, 37, 1135-1140.

[11]   R. Metoki, F. Moriyasu, N Kamiyama, et al. (2006) Quantifica-tion of hepatic parenchymal blood flow by contrast ultrasonogra-phy with flash-replenishment imaging. Ultrasound in Medicine & Biology, 32, 1459-1466.

[12]   T. Jansson, H.W. Persson, K. Lindstrom (1999) Estimation of blood perfusion using ultrasound, Journal of Engineering in Medicine, 213, 91-106.

[13]   E.H.W. Meijering, W.J. Niessen, M.A. (1999) Viergever Retro-spective Motion Correction in Digital Subtraction Angiography: A Review, IEEE Transactions on Medical Imaging, 18(1), 2-21.

[14]   T. Koga, K. Iinuma, A. Hirano, et al. (1981) Paper presented at the Motion compensated interframe coding for video conferenc-ing, New Orleans, LA, Nov-Dec.

[15]   F. Yang, A.Y. Gu, Z.P. Chen, et al. (2008) Multiple emulsion microbubbles for ultrasound imaging, Materials Letters, 62, 121-124.