Abstract
We develop a filtered back projection based deep learning image reconstruction technique for photoacoustic tomography (PAT), called DeepFBP. This algorithm is implemented by mapping the conventional filtered back-projection (FBP) algorithm into a deep neural network. The performance of the DeepFBP technique was evaluated using numerical simulation.
© 2021 The Author(s)
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