Abstract:A specimen of human breast comprised mostly of fat and connective tissue was imaged with a high-resolution magnetic resonance scanner. The volume of data was segmented to construct an acoustic model by assigning values of sound speed, density, and attenuation to voxels corresponding to fat and connective tissue. Propagation of a wavefront from a point source through the model was calculated using a three-dimensional finite-difference time-domain k-space method that included perfectly matched absorbing boundary… Show more
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