Plane-wave Compounding with Short-lag Coherence Factor Weighting
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摘要: 相干平面波复合(CPWC)成像算法采用多个角度平面波成像结果直接叠加的方式进行成像，具有速度快，质量高等优点，CPWC成像直接叠加的成像方式，忽略了平面波成像结果之间的相干性。相干系数(CF)加权算法可以有效提高成像的分辨率和对比度，降低了背景成像质量。该文提出了短阶相干系数(SLCF)加权算法，该算法采用角度差异参数来确定相干系数的阶数，根据角度差异较小的平面波输出计算相干系数，对CPWC成像结果进行加权成像。仿真和实验结果表明SLCF加权算法相对于传统的CPWC成像算法，可以改善成像的横向分辨率和对比度。相对CF和广义相干系数(GCF)算法，SLCF可以提高对比度和背景成像质量，而且运算量更低。Abstract: The Coherent Plane-Wave Compounding (CPWC) algorithm is based on the recombination of several plane-waves with different steering angles, which can achieve high-quality images with high frame rate. However, CPWC ignores the coherence between the plane-wave imaging results. Coherence Factor (CF) weighted algorithm can effectively improve the imaging contrast and resolution, while it degrades the background speckle quality. A Short-Lag Coherence Factor (SLCF) algorithm for CPWC is proposed. SLCF uses the angular difference parameter to ascertain the order of the coherence factor and calculates the coherence factor for the plane-waves with small angular difference. Then, SLCF is utilized to weight CPWC to obtain the final images. Simulated and experimental results show that SLCF-weighted algorithm can improve the imaging quality in terms of lateral resolution and Contrast Ratio (CR), compared with CPWC. In addition, in comparison with CF and Generalized Coherence Factor (GCF) weighted algorithm, SLCF can achieve better background speckle quality and it has lower computational complexity.
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表 1 不同算法仿真点的横向与纵向FWHM及仿真斑的CR, CNR和背景SNR
算法 横向FWHM(mm) 纵向FWHM(mm) CR(dB) CNR SSNR CPWC 0.540 0.415 30.22\15.96 4.68\2.45 8.52\6.36 CF 0.443 0.414 38.69\23.02 4.02\2.25 4.37\2.56 GCF 0.495 0.413 40.64\24.28 5.15\2.60 5.57\2.96 SLCF(8%) 0.537 0.415 38.00\21.62 5.22\2.31 6.86\3.40 SLCF(18%) 0.530 0.415 39.86\23.45 5.31\2.46 6.25\3.15 SLCF(30%) 0.524 0.415 40.48\24.14 5.17\2.48 5.83\3.01 SLCF(40%) 0.516 0.415 40.29\24.46 4.89\2.50 5.45\2.93 
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表 2 不同算法实验点的横向与纵向FWHM及实验斑的CR, CNR和背景SNR
算法 横向宽度(mm) 纵向宽度(mm) CR(dB) CNR SSNR CPWC 0.550 0.554 24.39\10.16 3.76\1.61 7.50\5.38 CF 0.477 0.542 31.73\12.64 3.25\1.49 3.56\1.82 GCF 0.513 0.553 33.38\13.66 4.10\1.64 4.49\1.97 SLCF(8%) 0.546 0.550 30.20\15.82 3.84\1.89 5.57\2.96 SLCF(18%) 0.536 0.554 32.71\17.85 4.08\2.10 5.05\2.71 SLCF(30%) 0.522 0.555 33.63\18.54 4.06\2.17 4.71\2.61 SLCF(40%) 0.501 0.557 33.72\18.64 3.90\2.14 4.42\2.51
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表 3 人体成像数据的CR, CNR和背景SNR
算法 CR(dB) CNR SSNR CPWC 26.33 2.45 3.68 CF 26.96 1.85 1.99 GCF 28.28 1.98 2.10 SLCF(8%) 29.84 2.39 2.79 SLCF(18%) 28.84 2.10 2.32 SLCF(30%) 28.23 1.94 2.11 SLCF(40%) 27.86 1.86 2.01
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