Training Variational Networks With Multidomain Simulations: Speed-of-Sound Image Reconstruction

@article{Bernhardt2020TrainingVN,
  title={Training Variational Networks With Multidomain Simulations: Speed-of-Sound Image Reconstruction},
  author={M{\'e}lanie Bernhardt and Valery Vishnevskiy and Richard Rau and Orcun Goksel},
  journal={IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control},
  year={2020},
  volume={67},
  pages={2584-2594}
}
Speed-of-sound (SoS) has been shown as a potential biomarker for breast cancer imaging, successfully differentiating malignant tumors from benign ones. SoS images can be reconstructed from time-of-flight measurements from ultrasound images acquired using conventional handheld ultrasound transducers. Variational networks (VNs) have recently been shown to be a potential learning-based approach for optimizing inverse problems in image reconstruction. Despite earlier promising results, these… 

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