Speaker
Description
Ultrasound tomography for acoustic absorption relies on accurately measuring the energy loss of the propagated waves. Phase-sensitive sensors are susceptible to phase-cancellation which can result in artifacts in the absorption reconstruction, especially if the sensors are sparse or large. Recently, ultrasound tomography has been demonstrated using phase-insensitive sensors. Ultrasound absorption tomography of a 2D breast phantom is investigated for both phase-sensitive and phase-insensitive sensors in the frequency domain. Synthetic data is used with Gaussian noise added to avoid inverse crime. Both linear and non-linear reconstruction methods are considered. The linear reconstructions are Jacobian based, using an LSQR solver for Tikhonov regularisation and a primal-dual solver for total variation regularisation. The non-linear reconstructions use the L-BFGS-B algorithm with a simple adaptive step size method, where both Tikhonov and total variation priors are implemented through their gradients. The total variation function is smoothed using the Green approximation to make it
differentiable over its entire domain. Reconstruction quality is compared using mean-squared error and contrast metrics.
| Preferred Contribution Type | Presentation |
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