Toward real-time bent-ray breast ultrasound tomography using GPUs

Yassin Labyed; Lianjie Huang

doi:10.1117/12.2043127

20 March 2014 Toward real-time bent-ray breast ultrasound tomography using GPUs

Yassin Labyed, Lianjie Huang

Proceedings Volume 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography; 90401N (2014) https://doi.org/10.1117/12.2043127
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

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.

Citation Download Citation

Yassin Labyed and Lianjie Huang "Toward real-time bent-ray breast ultrasound tomography using GPUs", Proc. SPIE 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography, 90401N (20 March 2014); https://doi.org/10.1117/12.2043127

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