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Vol. 174, Issue 7, July 2014, pp. 240-245




Optimization of Axial Resolution in Ultrasound Elastography

Zhihong Zhang, Haoling Liu, Congyao Zhang, D. C. Liu

School of Computer Science, Sichuan University, Chengdu 610065, China
Tel.: +28-731-15399907889

E-mail: z.zhihong85@gmail.com


Received: 13 March 2014 /Accepted: 30 June 2014 /Published: 31 July 2014

Digital Sensors and Sensor Sysstems


Abstract: To improve the axial resolution of ultrasonic elastography, by taking the advantage of code excitation and frequency compounding, multi-frequency with coded excitation for elastography (FCCE) was proposed. FCCE adopts the Chirp signal excitation scheme and strikes a balance in the selection of sub-signal bandwidth, the bandwidth overlap and the number of sub-strain image based on theoretical derivation, so as to further improve the axial resolution of elastic image. On MATLAB, multi- frequency with coded excitation for elastography was implemented and compared with short pulse. Experiments have proved that, compared with the short pulse, the elastographic signal-to-noise ratio (SNRe) and contrast-to-noise ratio (CNRe) were improved significantly. Moreover, probing depth, axial resolution and target detection were improved too. Therefore, the FCCE technology can effectively improve the elastography quality and can be applied to ultrasonic clinical trials.


Keywords: Ultrasonic elastography, Axial resolution, Coded excitation, Multi-frequency compounding L.


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