Synthetic transmit aperture technique in medical ultrasound imaging implemented on a GPU

Ying Li; Xiaodong Chen; Chuang Zhang; Yi Wang; Zhihai Jiao; Daoyin Yu

doi:10.1117/12.2071012

13 November 2014 Synthetic transmit aperture technique in medical ultrasound imaging implemented on a GPU

Ying Li, Xiaodong Chen, Chuang Zhang, Yi Wang, Zhihai Jiao, Daoyin Yu

Proceedings Volume 9279, Real-time Photonic Measurements, Data Management, and Processing; 927910 (2014) https://doi.org/10.1117/12.2071012
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

In the medical ultrasound imaging, the synthetic transmit aperture (STA) technique is very promising and has been a hot research topic. It is dynamically focused in both transmit and receive yielding an improvement in resolution. But this imaging technique sets high demands on processing capabilities and makes implementation of a full STA system very challenging and costly. Many attempts have been made to reduce the demands on the system making it a more realistic task to implement. In this paper we don’t consider how to reduce the demands, but consider how to accelerate the processing speed of the system. The recent introduction of general-purpose graphic processing units (GPU) seems to be quite promising in this view, especially for the affordable programming complexity. In this paper we explain the main computational features of STA processing unit, trying to disclose the degree of parallelism in the operations. On the basis of the compute unified device architecture (CUDA) programming model and the extremely flexible structure of the Single Instruction Multiple Threads (SIMT) model, we show that the optimization of STA processing unit can be performed more efficiently. The input data is read from Matlab, the post-processing and display also use Matlab. Performance shows that, using a single NIVDIA GTX-650 GPU board, this amount to a speed up of more than a factor of 30 compared to a highly optimized beamformer running on our test workstation with a 3.20-GHz Intel Core-i5 processor.

Citation Download Citation

Ying Li, Xiaodong Chen, Chuang Zhang, Yi Wang, Zhihai Jiao, and Daoyin Yu "Synthetic transmit aperture technique in medical ultrasound imaging implemented on a GPU", Proc. SPIE 9279, Real-time Photonic Measurements, Data Management, and Processing, 927910 (13 November 2014); https://doi.org/10.1117/12.2071012

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KEYWORDS

Ultrasonography

Imaging systems

Computer programming

MATLAB

Apodization

Image processing

Instrument modeling

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