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互相关自适应加权的医学超声成像算法研究

郑驰超 彭虎 韩志会

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互相关自适应加权的医学超声成像算法研究

郑驰超, 彭虎, 韩志会

Medical ultrasound imaging based on cross-correlation adaptive weighting

Zheng Chi-Chao, Peng Hu, Han Zhi-Hui
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  • 根据超声成像系统的超声回波信号互相关性,提出互相关自适应加权超声成像算法. 该算法根据散射点回波信号之间的空间相关性设置加权系数,对不同位置的散射点进行自适应加权成像,从而降低了成像系统的旁瓣,抑制了相关性较差的噪声. 通过Field Ⅱ 仿真的点目标和吸声斑目标处理结果表明该方法成像的横向和纵向分辨率高,成像速度快. 相对于延时叠加(DAS)算法,该算法对散射点成像可提高对比度16 dB,对于吸声斑成像可提高对比度0.85 dB. 最后采用完备数据集进行实验,结果表明该算法成像分辨率优于DAS算法,对比度提高了17 dB.
    According to the cross-correlation between the ultrasonic echo signals of ultrasonic imaging system, ultrasonic imaging algorithm based on cross-correlation adaptive weighting is introduced. This method determines the weight on the correlation between the echo signals of scatters at different positions, and then the adaptive weighted imaging is performed. The sidelobe and the noise which has the low correlation are suppressed. Simulations to points object and speckle object pattern using Field Ⅱ show that the method of imaging fast, and it can give a high horizontal and longitudinal resolution. Compared with delay and sum (DAS) algorithm, the contrast of the image to point object is increased by 16 dB. The contrast of the image to sound-absorbing speckle is increased by 0.85 dB. The results of experiments in which the complete data sets are used, show that the resolution is better than that of DAS algorithm and the contrast is increased by 17 dB.
    • 基金项目: 国家自然科学基金青年科学基金(批准号:61201060)和国家自然科学基金(批准号:61172037)资助的课题.
    • Funds: Project supported by the Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 61201060) and the National Natural Science Foundation of China (Grant No. 61172037).
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    Sakhaei S M 2012 IEEE Trans. Ultrason. Ferroelectr. and Frequency Control 59 799

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    Camacho J, Parrilla M, Fritsch C 2009 IEEE Trans. Ultrason. Ferroelectr. and Frequency Control 56 958

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    Torbatian Z, Adamson R, Bance M, Brown J A 2010 IEEE Trans. Ultrason. Ferroelectr. and Frequency Control 57 2588

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  • [1]

    Peng J S, Peng H 2012 Acta Phys. Sin. 61 248701 (in Chinese) [彭京思, 彭虎 2012 物理学报 61 248701]

    [2]

    Zheng Z G, Ta D A 2012 Acta Phys. Sin. 61 134304 (in Chinese) [张正罡, 他得安 2012 物理学报 61 134304]

    [3]

    Zhao G M, Lu M Z, Wan M X, Fang L 2009 Acta Phys. Sin. 58 6603 (in Chinese) [赵贵敏, 陆明珠, 万明习, 方莉 2009 物理学报 58 6603]

    [4]

    Yu J, Chen C Y, Chen G, Guo X S, Ma Y, Tu J, Zhang D 2014 Chin. Phys. Lett. 31 034302

    [5]

    Lu M Z, Wu Y P, Shi Y, Guan Y B, Guo X L, Wan M X 2012 Chin. Phys. Lett. 29 124302

    [6]

    Cui W C, Tu J, Hwang J H, Li Q, Fan T B, Zhang D, Chen J H, Chen W Z 2012 Chin. Phys. B 21 074301

    [7]

    Mehdizadeh S, Austeng A, Johansen T F, Holm S 2012 IEEE Trans. Ultrason. Ferroelectr. and Frequency Control 59 683

    [8]

    Asl B M, Mahloojifar A 2011 IEEE Trans. Ultrason. Ferroelectr. and Frequency Control 58 858

    [9]

    Asl B M, Mahloojifar A 2009 IEEE Trans. Ultrason. Ferroelectr. and Frequency Control 56 1923

    [10]

    Li P C, Li M L 2003 IEEE Trans. Ultrason. Ferroelectr. and Frequency Control 50 128

    [11]

    Li M L, Guan W J, Li P C 2004 IEEE Trans. Ultrason. Ferroelectr. and Frequency Control 51 63

    [12]

    Zheng C C, Peng H, Han Z H 2012 Acta Acustica 37 637 (in Chinese) [郑驰超, 彭虎, 韩志会 2012 声学学报 37 637]

    [13]

    Sakhaei S M 2012 IEEE Trans. Ultrason. Ferroelectr. and Frequency Control 59 799

    [14]

    Wu W T, Pu J, L Y 2011 Acta Acustica 36 66 (in Chinese) [吴文焘, 蒲杰, 吕燚 2011 声学学报 36 66]

    [15]

    Camacho J, Parrilla M, Fritsch C 2009 IEEE Trans. Ultrason. Ferroelectr. and Frequency Control 56 958

    [16]

    Torbatian Z, Adamson R, Bance M, Brown J A 2010 IEEE Trans. Ultrason. Ferroelectr. and Frequency Control 57 2588

    [17]

    Jensen J A 1996 Med. Biol. Eng. Comput. 34 351

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出版历程
  • 收稿日期:  2014-01-10
  • 修回日期:  2014-03-06
  • 刊出日期:  2014-07-05

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