[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]
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Ultrasonic image artifact removal technique based on SoS kernel(
)
基于SoS核函数调制的超声图像伪影剔除方法
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 40
- Issue:
- 2024 1
- Page:
- 80-88
- Research Field:
- Mechanical Engineering
- Publishing date:
- 2024-03-20
Info
- Title:
- Ultrasonic image artifact removal technique based on SoS kernel
- 基于SoS核函数调制的超声图像伪影剔除方法
- Author(s):
- Song Shoupeng; Jia Hui; Chen Dan
- School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China
- PACS:
- TH878
- DOI:
- 10.3969/j.issn.1003-7985.2024.01.009
- Abstract:
- 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.
- 针对超声图像伪影严重的问题, 提出了一种基于SoS核函数调制的超声图像伪影剔除方法, 该方法能同时剔除由等声程线扩散、传感器拖尾现象和检测噪声产生的伪影.该方法利用SoS核函数对测得的超声回波信号进行调制, 对调制后的信号等间隔低速率采样来获取离散序列值, 再对离散序列进行离散傅里叶变换得到傅里叶系数序列, 利用谱估计算法对回波信号参数进行估计, 获取检测信号的特征参数, 最后对回波信号进行自适应重构, 计算声场得到超声图像.试验结果表明, 聚焦和直探头对槽和通孔类缺陷的去伪影效果明显, 与传统B扫图像相比, 峰值信噪比分别达到了24.306、23.213、15.074和16.444 dB, 结构相似度分别为0.931、0.932、0.746和0.773, 表明该算法有效提高了缺陷图像的质量.
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Memo
- Memo:
-
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.