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Proceedings Paper

Toward parallel optimal computation of ultrasound computed tomography using GPU
Author(s): Xia Sun; Shanshan Wang; Junjie Song; Liang Zhou; Yang Peng; Mingyue Ding; Ming Yuchi
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Paper Abstract

In recent years, many research studies have been carried out on ultrasound computed tomography (USCT) for its application prospect in early detection of breast cancer. The synthetic aperture focusing technique (SAFT) widely used for the USCT image reconstruction is highly compute-intensive. Speeding up and optimizing the reconstruction algorithm on the graphics processing units (GPUs) have been highly applied to medical ultrasound imaging field. In this paper, we focus on accelerating the processing speed of SAFT with the GPU, considering its high parallel computation ability. The main computational features of SAFT are discussed to show the degree of computation parallelism. On the basis of the compute unified device architecture (CUDA) programming model and the Single Instruction Multiple Threads (SIMT) model, the optimization of SAFT parallel computation is performed. The proposed method was verified with the radio-frequency (RF) data of the breast phantom and the pig heart in vitro captured by the USCT system developed in the Medical Ultrasound Laboratory. Experimental results show that a 1024×1024 image reconstruction with a single NVIDIA GTX-1050 GPU could be 25 times faster than that with a 3.20-GHz Intel Core-i5 processor without image quality loss. The results also imply that with the increase of the image pixels, the acceleration effect is more notable.

Paper Details

Date Published: 6 March 2018
PDF: 7 pages
Proc. SPIE 10580, Medical Imaging 2018: Ultrasonic Imaging and Tomography, 105800R (6 March 2018); doi: 10.1117/12.2293219
Show Author Affiliations
Xia Sun, Huazhong Univ. of Science and Technology (China)
Shanshan Wang, Huazhong Univ. of Science and Technology (China)
Junjie Song, Huazhong Univ. of Science and Technology (China)
Liang Zhou, Huazhong Univ. of Science and Technology (China)
Yang Peng, Huazhong Univ. of Science and Technology (China)
Mingyue Ding, Huazhong Univ. of Science and Technology (China)
Ming Yuchi, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10580:
Medical Imaging 2018: Ultrasonic Imaging and Tomography
Neb Duric; Brett C. Byram, Editor(s)

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