Simon CHATELIN1, Simon LAMBERT1, Lauriane JUGE1, Xing CAI2, Sven Peter NASHOLM2, Valrie VILGRAIN1, Bernard E. Van BEERS1, Xavier MAITRE3, Lynne E. BILSTON4, Bojan GUZINA5, Sverre HOLM2, Ralph SINKUS1
1U773-CRB3, INSERM, Paris, France; 2Dept. of Informatics, University of Oslo, Oslo, Norway; 3UMR 8081-CNRS, Universit Paris-Sud, Orsay, France; 4Neuroscience Research Australia, University of New South Wales, New South Wales, Australia; 5Dept. of Civil Engineering, University of Minnesota, Minneapolis, MN, United States
Understanding the effects of micro-obstacles on wave propagation is an essential part when trying to extract micro-structural information from MR-Elastography (MRE) data from tissue abnormalities such as small metastases or neovascularization. To date, the effects of wave scattering on mechanical properties measurements remain poorly understood. Nevertheless, scattering plays a major role in linking the architectural properties of a biological tissue to its mechanical properties measured by MRE. In this study, the influence of microparticle size distribution on wave scattering frequency dependence is investigated from a theoretical and numerical approach. This study shows for the first time the feasibility of linking size distribution and stiffness of micro-particles to the macroscopically observed elasticity.
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