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Hi @kwsp ! The most important issue (which is shared with FWI algorithms) is the large memory requirements in 3D for backpropagation. In practice, one needs to store the entire wavefield at every single timestep of the simulation to accurately calculate the gradients. But it is still possible to make a 2D example which can be easily extended to 3D. I will make an issue to do so 😄 |
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Are there examples for simulating B-mode US images like k-wave? For example, http://www.k-wave.org/documentation/example_us_bmode_linear_transducer.php
It seems like the capability is already there - just need to implement a transducer class to facilitate easier simulation.
Any help is appreciated! Thanks you!
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