We explore the potential of low-frequency tomography for breast cancer diagnosis.
Using full data, reflection and transmission, allows sub-wavelength reconstruction.
The problem is treated as a coefficient inverse problem for the wave equation.
The algorithms are based on direct computation of the gradient of the residual.
Parallel algorithms focus on the use of GPU clusters and supercomputers.