超声剪切波成像对肝脏裂伤的仿真检测

doi:10.16182/j.issn1004731x.joss.201704010

摘要/Abstract

摘要： 超声剪切波成像技术通过检测剪切波传播实现对软组织的弹性测量。探索使用超声剪切波成像技术结合方向滤波算法实现对肝脏裂伤检测的可行性。通过COMSOL Multiphysics软件仿真剪切波的产生和在有裂伤肝脏内部的传播,用方向滤波分离入射波和破裂处反射波,并用边缘检测算法对裂伤进行定位和边缘检测。结果显示方向滤波和边缘检测算法能够检测肝裂伤位置和迎向入射波一侧边缘,误差<1%。超声剪切波成像结合方向滤波技术可以避免弹性重构中对逆问题的求解,对于超声信噪比低的情况和作为辅助影像学工具提高钝性肝脏外伤的超声诊断灵敏性方面具有应用潜力。

关键词: 超声剪切波, 肝脏裂伤, 仿真, 检测

Abstract: Ultrasonic shear wave imaging technology provides the elastic information of the soft tissue by examining the propagation of the shear waves in the tissue. The possibility of using ultrasonic shear wave imaging technology combined with a directional filter for the detection of liver rupture was explored. The COMSOL Multiphysics software was used to simulate the generation and propagation of the shear waves in the liver medium with a rupture, a directional filter-based algorithm was applied to separate the incident wave and reflected wave, and an edge detection algorithm was applied to detect and delineate the liver rupture. Preliminary results indicate that a directional filter and edge detection algorithm could detect and delineate the front edge of the rupture, with an error less than 1%. The ultrasonic shear wave imaging combined with a directional filter approach makes up for the shortcomings of solving the inversion problem to reconstruct the elasticity map, and holds promises for the low ultrasonic SNR (Signal Noise Ratio) case and for improving the sensitivity of ultrasonic diagnosis of blunt liver trauma as a valuable assistive imaging tool for clinical practice.

Key words: ultrasonic shear wave, liver rupture, simulation, detection

中图分类号:

TN911.7

玉姣, 聂二伟, 朱艳英. 超声剪切波成像对肝脏裂伤的仿真检测[J]. 系统仿真学报, 2017, 29(4): 775-783.

Yu Jiao, Nie Erwei, Zhu Yanying. Simulation of Ultrasonic Shear Wave Imaging in Detection of Liver Rupture[J]. Journal of System Simulation, 2017, 29(4): 775-783.

参考文献

[1] Natarajan B, Gupta P K, Cemaj P, et al.FAST scan: Is it worth doing in hemodynamically stable blunt trauma patients?[J]. Surgery (S0039-6060), 2010, 148(4): 695-700.
[2] Slotta J E, Justinger C, Kollmar O, et al.Liver injury following blunt abdominal trauma: a new mechanism-driven classification[J]. Surg. Today (S0941-1291), 2014, 44(2): 241-246.
[3] 罗昆仑, 方征, 刘洪, 等. 严重肝外伤的伤情特点及外科治疗选择[J]. 中华肝胆外科杂志, 2010, 16(10): 725-727.
(Luo Kun-lun, Fang Zheng, Liu Hong, et al.Characteristics and choice of surgical treatments for severe liver tmuma[J]. Chin. J. Hepatobiliary Surg.(S1007-8118), 2010, 16(10): 725-727.)
[4] Rudenko O V, Sarvazyan A P, Emelianov S Y.Acoustic radiation force and streaming induced by focused nonlinear ultrasound in a dissipative medium[J]. J. Acoust. Soc. Am.(S0001-4966), 1996, 99(5): 2791-2798.
[5] Sarvazyan A P, Emelianov S Y, Rudenko O V, et al.Shear wave elasticity imaging: A new ultrasonic technology of medical diagnostics[J]. Ultrasound Med. Biol.(S0301-5629), 1998, 24(9): 1419-1435.
[6] Leung V Y, Shen J, Wong V W, et al.Quantitative elastography of liver fibrosis and spleen stiffness in chronic hepatitis B carriers: comparison of shear-wave elastography and transient elastography with liver biopsy correlation[J]. Radiology (S0033-8419), 2013, 269(3): 910-918.
[7] 郭欢仪, 黄泽萍, 郑剑, 等. 组织结构声学定量技术与剪切波弹性成像评价肝纤维化的比较[J]. 中华超声影像学杂志, 2015, 24(2): 128-131.
(Guo Huan-yi, Huang Ze-ping, Zheng Jian, et al.Comparison of acoustic structure quantification and shear wave elastography in the assessment of diagnostic accuracy of liver fibrosis[J]. Chin. J. Ultrasonogr.(S1004-4477), 2015, 24(2): 128-131.)
[8] Cassinotto C, Lapuyade B, Mouries A, et al.Non-invasive assessment of liver fibrosis with impulse elastography: comparison of Supersonic Shear Imaging with ARFI and FibroScan[J]. J. Hepatol.(S0168-8278), 2014, 61(3): 550-557.
[9] 郑剑, 刘勇, 郑荣琴, 等. 实时二维剪切波弹性成像与实时组织弹性成像评估慢性肝病肝纤维化的比较研究[J]. 中华超声影像学杂志, 2014, 23(11): 944-947.
(Zheng Jian, Liu Yong, Zheng Rong-qin, et al.Comparative study of real-time two-dimensional shear wave elastography and real-time tissue elastography in the assessment of liver fibrosis in chronic liver disease[J]. Chin. J. Ultrasonogr.(S1004-4477), 2014, 23(11): 944-947.)
[10] Poynard T, Munteanu M, Luckina E, et al.Liver fibrosis evaluation using real-time shear wave elastography: applicability and diagnostic performance using methods without a gold standard[J]. J. Hepatol.(S0168-8278), 2013, 58(5): 928-935.
[11] Ferraioli G, Parekh P, Levitov A B, et al.Shear wave elastography for evaluation of liver fibrosis[J]. J. Ultrasound Med.
(S0278-4297), 2014, 33(2): 197-203.
[12] Chen S, Sanchez W, Callstrom M R, et al.Assessment of liver viscoelasticity by using shear waves induced by ultrasound radiation force[J]. Radiology (S0033-8419), 2013, 266(3): 964-970.
[13] 田文硕, 黄光亮, 谢晓燕, 等. 剪切波弹性成像在肝局灶性病变鉴别诊断中的应用[J]. 中华超声影像学杂志, 2014, 23(6): 497-501.
(Tian Wen-shuo, Huang Guang-liang, Xie Xiao-yan, et al.Shear wave elastography evaluation for differential diagnosis of focal liver lesions[J]. Chin. J. Ultrasonogr.(S1004-4477), 2014, 23(6): 497-501.)
[14] Guibal A, Boularan C, Bruce M, et al.Evaluation of shear wave elastography for the characterization of focal liver lesions on ultrasound[J]. Eur. Radiol.(S0938-7994), 2013, 23(4): 1138-1149.
[15] 田文硕, 林满霞, 谢晓燕, 等. 肝局灶性病变弹性成像图像质量的影响因素及可重复性研究[J]. 中华超声影像学杂志, 2015, 24(4): 307-310.
(Tian Wen-shuo, Lin Man-xia, Xie Xiao-yan, et al.Influencing factors of quality of shear wave elastography image of focal liver lesions and a reproducibility study[J]. Chin. J. Ultrasonogr.(S1004-4477), 2015, 24(4): 307-310.)
[16] 武荣, 罗渝昆, 吕发勤, 等. 实时剪切波弹性成像诊断急性肝创伤的动物实验研究[J]. 中国医学影像学杂志, 2012, 20(4): 294-297.
(Wu Rong, Luo Yu-kun, Lv Fa-qin, et al.An animal experiment of real-time shear wave elastography in diagnosing acute liver trauma[J]. Chin. J. Med. Imaging (S1005-5185), 2012, 20(4): 294-297.)
[17] 胡猛, 邓旦, 李茜, 等. 实时剪切波弹性成像对肝爆震伤的初步观察[J]. 中华超声影像学杂志, 2014, 23(9): 811-815.
(Hu Meng, Deng Dan, Li Qian, et al.Initial observation of blast injury of liver by real-time shear wave elastography[J]. Chin. J. Ultrasonogr.(S1004-4477), 2014, 23(9): 811-815.)
[18] Doyley M M.Model-based elastography: a survey of approaches to the inverse elasticity problem[J]. Phys. Med. Biol.
(S0031-9155), 2012, 57(3): 35-73.
[19] Lin K, Mclaughlin J.An error estimate on the direct inversion model in shear stiffness imaging[J]. Inverse Probl.
(S0266-5611), 2009, 25(7): 075003.
[20] Deffieux T, Gennisson J L, Larrat B, et al.The variance of quantitative estimates in shear wave imaging: theory and experiments[J]. IEEE Trans. Ultrason. Ferroelectr. Freq. Control (S0885-3010), 2012, 59(11): 2390-2409.
[21] Pan X, Liu K, Bai J, et al.A regularization-free elasticity reconstruction method for ultrasound elastography with freehand scan[J]. Biomed. Eng.(S1573-8256), 2014, 13(1): 132.
[22] Doyley M M, Parker K J.Elastography: general principles and clinical applications[J]. Ultrasound Clinics (S1556-858X), 2014, 9(1): 1-11.
[23] Giannoula A, Cobbold R, Bezerianos A.Reconstructing 3-D maps of the local viscoelastic properties using a finite-amplitude modulated radiation force[J]. Ultrasonics (S0041-624X), 2014, 54(2): 563-575.
[24] Chatelin S, Gennisson J L, Bernal M, et al.Modelling the impulse diffraction field of shear waves in transverse isotropic viscoelastic medium[J]. Phys. Med. Biol.(S0031-9155), 2015, 60(9): 3639-3654.
[25] Jiang Y, Li G, Qian L, et al.Measuring the linear and nonlinear elastic properties of brain tissue with shear waves and inverse analysis[J]. Biomech. Model Mechanobiol.(S1617-7959), 2015, 14(5): 1119-1128.
[26] Jiang Y, Li G, Qian L, et al.Characterization of the nonlinear elastic properties of soft tissues using the supersonic shear imaging (SSI) technique: inverse method, ex vivo and in vivo experiments[J]. Med. Image Anal.(S1361-8415), 2015, 20(1): 97-111.
[27] Latorre-Ossa H, Gennisson J L, De Brosses E, et al.Quantitative imaging of nonlinear shear modulus by combining static elastography and shear wave elastography[J]. IEEE Trans. Ultrason. Ferroelectr. Freq. Control (S0885-3010), 2012, 59(4): 833-839.
[28] Li G, Zheng Y, Liu Y, et al.Elastic Cherenkov effects in transversely isotropic soft materials-I: Theoretical analysis, simulations and inverse method[J]. J. Mech. Phys. Solids.(S0022-5096), 2016, 96(1): 388-410.
[29] Li G, He Q, Qian L, et al.Elastic Cherenkov effects in transversely isotropic soft materials-II: Ex vivo and in vivo experiments[J]. J. Mech. Phys. Solids.(S0022-5096), 2016, 94(1): 181-190.
[30] Amador C, Song P, Meixner D D, et al.Improvement of shear wave motion detection using harmonic imaging in healthy human liver[J]. Ultrasound Med. Biol.(S0301-5629), 2016, 42(5): 1031-1041.
[31] Song P, Manduca A, Zhao H, et al.Fast Shear Compounding Using Robust 2-D Shear Wave Speed Calculation and Multi-directional Filtering[J]. Ultrasound Med. Biol.(S0301-5629), 2014, 40(6): 1343-1355.
[32] Guo M, Abbott D, Lu M, et al.Quasi-plane shear wave propagation induced by acoustic radiation force with a focal line region: a simulation study[J]. Australas. Phys. Eng. Sci. Med.(S0158-9938), 2016, 39(1): 187-197.
[33] Audiere S, Angelini E D, Sandrin L, et al.Maximum likelihood estimation of shear wave speed in transient elastography[J]. IEEE Trans. Med. Imaging (S0278-0062), 2014, 33(6): 1338-1349.
[34] Felippa C. Introduction to finite element methods [EB/OL]. (2016-12-06). Http://www.colorado.edu/engin eering/CAS/courses.d/IFEM.d/IFEM.Ch14.d/IFEM.Ch14.pdf
[35] Muller M, Gennisson J L, Deffieux T, et al.Quantitative viscoelasticity mapping of human liver using supersonic shear imaging: Preliminary in vivo feasibility study[J]. Ultrasound Med. Biol.(S0301-5629), 2009, 35(2): 219-229.
[36] Huang Z, Zheng J, Zeng J, et al.Normal liver stiffness in healthy adults assessed by real-time shear wave elastography and factors that influence this method[J]. Ultrasound Med. Biol.(S0301-5629), 2014, 40(11): 2549-2555.
[37] Fedosov D A, Pan W, Caswell B, et al.Predicting human blood viscosity in silico[J]. Proc. Natl. Acad. Sci.
(S0027-8424), 2011, 108(29): 11772-11777.
[38] 奚襄君, 汪源源, 周虎, 等. 搭桥冠脉内超声多普勒血流信号的仿真分析[J]. 生物医学工程学进展, 2007, 28(2): 67-71.
(Xi Xiang-jun, Wang Yuan-yuan, Zhou Hu, et al.Simulation studies of Doppler ultrasound blood flow signals from bypassed coronary arteries[J]. Shanghai J. Biomed. Eng.(S1674-1242), 2007, 28(2): 67-71.)
[39] Manduca A, Lake D S, Kruse S A, et al.Spatiotemporal directional filtering for improved inversion of MR elastography images[J]. Med. Image Anal.(S1361-8415), 2003, 7(4): 465-473.
[40] Deffieux T, Gennisson J L, Bercoff J, et al.On the effects of reflected waves in transient shear wave elastography[J]. IEEE Trans. Ultrason. Ferroelectr. Freq. Control (S0885-3010), 2011, 58(10): 2032-2035.
[41] 赵小川. MATLAB图像处理—能力提高与应用案例 [M]. 北京: 北京航空航天大学出版社, 2014: 19-20.
(Zhao Xiao-chuan.MATLAB Image Processing— Capacity Enhancement and Application Cases [M]. Beijing, China: Beihang University Press, 2014: 19-20.)
[42] Langdon J, Mercado K, Dalecki D, et al.Compensating for Scholte waves in single track location shearwave elasticity imaging[J]. J. Acoust. Soc. Am.(S0001-4966), 2015, 137(4): 2364.
[43] Mercado K P, Langdon J, Helguera M, et al.Scholte wave generation during single tracking location shear wave elasticity imaging of engineered tissues[J]. J. Acoust. Soc. Am.(S0001-4966), 2015, 138(2): 138-144.
[44] 林浩铭, 陈思平, 汪天富. 表面波软组织黏弹性测量仿真的研究[J]. 深圳大学学报(理工版), 2013, 30(3): 261-267.
(Lin Hao-ming, Chen Si-ping, Wang Tian-fu.Simulation study on viscoelasticity measurement of soft tissue using the surface wave method[J]. J. Shenzhen Univ.(Sci. & Eng.), 2013, 30(3): 261-267.)
[45] 王晓婧, 孙丰荣, 曲怀敬, 等. 一种血管内超声图像边缘提取方法[J]. 系统仿真学报, 2006, 18(7): 1999-2002.
(Wang Xiao-jing, Sun Feng-rong, Qu Huai-jing, et al.A method for edge detection of IVUS images[J]. Journal of System Simulation (S1004-731X), 2006, 18(7): 1999-2002.)
[46] 原宗良, 汪源源, 余锦华, 等. 离散轮廓点集法提取超声图像前列腺边缘[J]. 应用科学学报, 2012, 30(1): 89-95.
(Yuan Zong-liang, Wang Yuan-yuan, Yu Jin-hua, et al.Prostate ultrasound image boundary extraction using discrete contour point set[J]. Journal of Applied Sciences (S0255-8297), 2012, 30(1): 89-95.)