H. Benoit-cattin, G. Collewet, B. Belaroussi, H. Saint-jalmes, and C. Odet, The SIMRI project: a versatile and interactive MRI simulator, Journal of Magnetic Resonance, vol.173, issue.1, pp.97-115, 2005.
DOI : 10.1016/j.jmr.2004.09.027

F. Bloch, Nuclear Induction, Physical Review, vol.70, issue.7-8, pp.460-474, 1946.
DOI : 10.1103/PhysRev.70.460

C. Corot, Physical, chemical, and biological evaluations of P760: A new gadolinium complex characterized by a low rate of interstitial diffusion, Journal of Magnetic Resonance Imaging, vol.6, issue.2, pp.182-191, 2000.
DOI : 10.1002/(SICI)1522-2586(200002)11:2<182::AID-JMRI16>3.0.CO;2-5

D. Duda, M. Kretowski, and J. Bezy-wendling, Texture characterization for hepatic tumor recognition in multiphase CT, Biocybernetics and Biomedical Engineering, vol.26, issue.4, pp.15-24, 2006.

M. R. Kellen and J. B. Bassingthwaighte, An integrative model of coupled water and solute exchange in the heart, American Journal of Physiology - Heart and Circulatory Physiology, vol.285, issue.3, pp.1303-1316, 2003.
DOI : 10.1152/ajpheart.00933.2001

M. Kretowski, Physiologically based modeling of 3-D vascular networks and CT scan angiography, IEEE Transactions on Medical Imaging, vol.22, issue.2, pp.248-257, 2003.
DOI : 10.1109/TMI.2002.808357

A. Mucciardi and E. Gose, A Comparison of Seven Techniques for Choosing Subsets of Pattern Recognition Properties, IEEE Transactions on Computers, vol.20, issue.9, pp.1023-1031, 1971.
DOI : 10.1109/T-C.1971.223398

M. W. Russo, I. M. Jacobson-kelsen, D. Daly, J. Kern, and S. , Hepatocellular cancer: screening, surveillance, and prevention, Gastrointestinal Oncology: Principles and Practices. Philadelphia, pp.559-568, 2002.

J. Schürmann, Pattern Classification, 1996.

M. Strzelecki, A. Materka, P. Szczypinski, and . Mazda, eds.: Texture analysis for Magnetic Resonance Imaging, European Network Cost Action B21, pp.107-113, 2006.