Paper
23 January 2017 Ultrasound strain imaging using Barker code
Hui Peng, Juhong Tie, Dequan Guo
Author Affiliations +
Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103221L (2017) https://doi.org/10.1117/12.2265375
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China
Abstract
Ultrasound strain imaging is showing promise as a new way of imaging soft tissue elasticity in order to help clinicians detect lesions or cancers in tissues. In this paper, Barker code is applied to strain imaging to improve its quality. Barker code as a coded excitation signal can be used to improve the echo signal-to-noise ratio (eSNR) in ultrasound imaging system. For the Baker code of length 13, the sidelobe level of the matched filter output is -22dB, which is unacceptable for ultrasound strain imaging, because high sidelobe level will cause high decorrelation noise. Instead of using the conventional matched filter, we use the Wiener filter to decode the Barker-coded echo signal to suppress the range sidelobes. We also compare the performance of Barker code and the conventional short pulse in simulation method. The simulation results demonstrate that the performance of the Wiener filter is much better than the matched filter, and Baker code achieves higher elastographic signal-to-noise ratio (SNRe) than the short pulse in low eSNR or great depth conditions due to the increased eSNR with it.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui Peng, Juhong Tie, and Dequan Guo "Ultrasound strain imaging using Barker code", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103221L (23 January 2017); https://doi.org/10.1117/12.2265375
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KEYWORDS
Filtering (signal processing)

Ultrasonography

Signal to noise ratio

Electronic filtering

Image compression

Image filtering

Tissues

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