The oficial pytorch implementation of the paper Combining banb-frequency separation and deep neural network for optoacoustic imaging
We proposed an deep FD-UNet architecture that directly exploits the frequency content in the broadband sinogram of an optoacustic measured signal for image reconstruction. The reconstructed images present a high degree of fidelity.
Figure: Reconstruction example. In the second half it is shown the average power spectrum of the full sinogram and the components associated with x1 and x2.
If our implementation helps your research work, please consider citing us:
@article{gonzalez2022,
title={Combining banb-frequency separation and deep neural network for optoacoustic imaging},
author={M. Gonzalez, M. Vera, L. Rey Vega},
journal={arXiv preprint arXiv:2210.08099v2},
year={2022}
}
If you have any question, please contact mggonza@fi.uba.ar or lrey@fi.uba.ar