Abstract
We use optical interferometry to capture coherent surface acoustic waves for elastographic imaging. An inverse method is employed to convert multi-frequency data into an elastic depth profile. Using this method, we image elastic properties over a 55 mm range with <5 mm resolution. For relevance to breast cancer detection, we employ a tissue phantom with a tumor-like inclusion. Holographic elastography is also shown to be well-behaved in ex vivo tissue, revealing the subsurface position of a bone. Because digital holography can assess waves over a wide surface area, this constitutes a flexible new platform for large volume and non-invasive elastography.
Highlights
In linear elastic theory, it has been posed that knowledge of an object's surface deformation in response to mechanical stress is sufficient to uniquely solve for the internal elastic properties [1]
High frame rate holography is uniquely suited for capturing nanometer amplitude vibrations over a wide area, in soft materials where surface acoustic waves have millimeter wavelengths at kilohertz frequencies
To reduce the dimensionality of the data acquisition, we propose an elastography method based on high frame rate holographic imaging of Rayleigh waves, a (2 + 1)-D imaging system
Summary
It has been posed that knowledge of an object's surface deformation in response to mechanical stress is sufficient to uniquely solve for the internal elastic properties [1]. Solutions to this type of boundary value problem have been employed in seismology [2] and non-destructive testing [3] to map interior elastic properties of the earth and of structural materials, respectively. To reduce the dimensionality of the data acquisition, we propose an elastography method based on high frame rate holographic imaging of Rayleigh waves, a (2 + 1)-D imaging system. By computing the solution to the boundary value problem, one may in theory extract all 3 spatial dimensions of elasticity
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