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.