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- W2071071983 abstract "Breast ultrasound tomography is a promising imaging modality that has the potential to improve the diagnosis and screening of breast cancer. We develop a bent-ray ultrasound tomography algorithm to reconstruct sound-speed images of the breast. We investigate the acceleration of the algorithm using graphical processing units (GPUs). We adapt the algorithmic steps of ultrasound bent-ray tomography to a GPU cluster, and use multi-GPU scaling to speed up the computation. Our results show that it is very promising to use a GPU cluster with multiple GPU cards to achieve nearly real-time tomographic reconstruction." @default.
- W2071071983 created "2016-06-24" @default.
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- W2071071983 date "2014-03-20" @default.
- W2071071983 modified "2023-09-23" @default.
- W2071071983 title "Toward real-time bent-ray breast ultrasound tomography using GPUs" @default.
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- W2071071983 doi "https://doi.org/10.1117/12.2043127" @default.
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