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Abstract #2447

Sub-Voxel Micro-Architecture Assessment by Scattering of Mechanical Shear Waves

Simon Auguste Lambert1, Simon Chatelin1, Peter Nasholm2, Lauriane Juge1, Philippe Garteiser1, Leon Ter Beek3, Valrie Vilgrain1, Bernard E. Van Beers1, Lynne E. Bilston4, Bojan Guzina5, Sverre Holm2, Ralph Sinkus1

1CRB3- INSERM U773, Univ Paris Diderot, Sorbonne Paris Cit, Clichy, Paris, France; 2Informatics Department, University of Oslo, Oslo, Norway; 3Philips Healthcare, Best, Netherlands; 4Neuroscience Research Australia, University of New South Wales, Randwick, NSW, Australia; 5Civil Engineering, University of Minnesota, Minneapolis, Mn, United States

Recently, it has been hypothesized that propagation of waves at a macroscopic scale might be influenced by the presence of micro-obstacles and hence lead to an apparent viscosity that can be revealed when exploring the tissue at different frequency. We demonstrated on calibrated phantoms by simulation, experiment, and theory that the frequency-dependence of mechanical shear wave scattering can reveal the underlying micro-architecture even within one single voxel. This technique opens perspective of measuring at the macroscopic level information about micro vasculature of tumors, which is crucial for efficacy monitoring during cancer therapy.