|Table of Contents|

[1] Song Shoupeng, Jia Hui, Chen Dan,. Ultrasonic image artifact removal technique based on SoS kernel [J]. Journal of Southeast University (English Edition), 2024, 40 (1): 80-88. [doi:10.3969/j.issn.1003-7985.2024.01.009]

Ultrasonic image artifact removal technique based on SoS kernel()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2024 1
Research Field:
Mechanical Engineering
Publishing date:


Ultrasonic image artifact removal technique based on SoS kernel
Song Shoupeng Jia Hui Chen Dan
School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China
nondestructive testing ultrasonic image artifact sum of sinc(SoS)kernel defect
To solve the problem of heavy artifacts in ultrasonic images, a novel ultrasonic imaging method is presented using a sum of sinc(SoS)kernel for eliminating the artifacts caused by the diffusion of isacoustic path, signal tail, or noise simultaneously. First, the envelope of ultrasonic echo is obtained and passed through a SoS kernel, then the signal is sampled at equal intervals determined by the echo signal information degree, and the Fourier transform is applied to the discrete sampling data to obtain the Fourier coefficient sequence. After that, the spectral estimation algorithm is used to estimate the parameters of the ultrasonic echo signal and reconstruct the echo signal using the estimated parameters. Finally, the ultrasonic image is obtained by calculating the acoustic field using the reconstructed echoes. Experimental results show that the image artifacts are effectively removed using focused and straight probes to test straight slot defects and through-hole defects, respectively. Compared with the B-scan images, the peak signal-to-noise ratios reach 24.306, 23.213, 15.074, and 16.444 dB, and the structural similarity indexs are 0.931, 0.932, 0.746, and 0.773, which indicates that the quality of the defect images is greatly improved using the proposed method.


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Biography: Song Shoupeng(1967—), male, doctor, professor, songshoupeng@126.com.
Foundation item: The National Natural Science Foundation of China(No. 52175511).
Citation: Song Shoupeng, Jia Hui, Chen Dan.Ultrasonic image artifact removal technique based on SoS kernel[J].Journal of Southeast University(English Edition), 2024, 40(1):80-88.DOI:10.3969/j.issn.1003-7985.2024.01.009.
Last Update: 2024-03-20