A Disturbance Rejection Method for Displacement Estimation of Carotid Wall

ZHANG Qing-hui, ZHANG Yu-feng, LIN Wen-jing, ZHOU Yi, ZHANG Ke-xin, GAO Lian

ACTA ELECTRONICA SINICA ›› 2017, Vol. 45 ›› Issue (12) : 2903-2908.

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ACTA ELECTRONICA SINICA ›› 2017, Vol. 45 ›› Issue (12) : 2903-2908. DOI: 10.3969/j.issn.0372-2112.2017.12.011

A Disturbance Rejection Method for Displacement Estimation of Carotid Wall

  • ZHANG Qing-hui1,2, ZHANG Yu-feng1, LIN Wen-jing1, ZHOU Yi1, ZHANG Ke-xin3, GAO Lian1
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Abstract

The disturbances caused by the instability of probe hold and the breathing exercise from subjects,are introduced during B-ultrasound examination.It decreases the measuring accuracy of the arterial wall displacement obtained from the B-Mode images by speckle tracking method.Thus,we propose a global rigid-registration method based on phase images of B-Mode images to eliminate these external disturbances.The phase features are obtained from B-Mode images via Riesz transform and difference of Gaussian filters.To improve the speed of searching optimization and the registration accuracy,a stepwise registration method is applied based on position weighted principal axis and centroid method combined with mutual information.The results show that,compared with these schemes of extracting wall displacement directly from B-Mode or phase images by speckle tracking method,this scheme can effectively remove these disturbances,and significantly improve the estimation accuracy.The proposed method can also be used in image registration of cardio-cerebro diseases.

Key words

B-Mode ultrasound / vessel wall pulsatile detection / rigid registration / phase feature / principal axis and centroid method / speckle tracking / mutual information / speckle reducing anisotropic diffusion

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ZHANG Qing-hui, ZHANG Yu-feng, LIN Wen-jing, ZHOU Yi, ZHANG Ke-xin, GAO Lian. A Disturbance Rejection Method for Displacement Estimation of Carotid Wall[J]. Acta Electronica Sinica, 2017, 45(12): 2903-2908. https://doi.org/10.3969/j.issn.0372-2112.2017.12.011

References

[1] Fish P J,Bastos C A C,Vaz F.Blood and wall signal simulator for Doppler ultrasound signal analysis algorithm development[A].Istefanopulos Y.Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society[C].Istanbul,Turkey:IEEE,2001,1(85):135-138.
[2] 林文晶,张榆锋,章克信,等.总体经验模态细分法提取血流超声多普勒信号的研究[J].电子学报,2014,42(07):1424-1428. LIN Wen-jing,ZHANG Yu-feng,et al.Extraction of Doppler ultrasound blood signals using the delicate separation method based on the eemd algorithm[J].Acta Electronica Sinica,2014,42(07):1424-1428.(in Chinese)
[3] Hasegawa H,Kanai H.Modification of the phased-tracking method for reduction of artifacts in estimated artery wall deformation[J].IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control,2006,53(11):2050-2064.
[4] Eriksson A,Greiff E,Loupas T,et al.Arterial pulse wave velocity with tissue Doppler imaging[J].Ultrasound In Medicine & Biology,2002,28(5):571-580.
[5] 林文晶.B超扫描序列图像的全局刚性配准消除颈动脉搏动位移估计的干扰[D].昆明:云南大学,2015.
[6] Woo J,Hong B W,Hu C H,et al.Non-rigid ultrasound image registration based on intensity and local phase information[J].Journal of Signal Processing Systems,2009,54(1-3):33-43.
[7] Felsberg M,Sommer G.The monogenic signal[J].IEEE Transactions on Signal Processing,2001,49(12):3136-3144.
[8] Pluim J P W,Maintz J B A,Viergever M A.Image registration by maximization of combined mutual information and gradient information[A].International Conference on Medical Image Computing and Computer-Assisted Intervention[C].Heidelberg,Berlin,GER:Springer Publishing,2000.452-461.
[9] 陈伟卿.基于互信息的医学图像刚性配准研究[D].大连:大连理工大学,2010. CHEN Wei-qing,Research on mutual information based rigid registration of medical images[D].Dalian:Dalian University of Technology,2010.(in Chinese)
[10] Yu Y,Acton S T.Speckle reducing anisotropic diffusion[J].IEEE Transactions on image processing,2002,11(11):1260-1270.
[11] Golemati S,Sassano A,Lever M J,et al.Carotid artery wall motion estimated from B-mode ultrasound using region tracking and block matching[J].Ultrasound In Medicine & Biology,2003,29(3):387-399.
[12] Friemel B H,Bohs L N,Trahey G E.Relative performance of two-dimensional speckle-tracking techniques:normalized correlation,non-normalized correlation and sum-absolute-difference[A].Levy M.Proceedings of the 1995 IEEE Ultrasonics Symposium[C],Seattle,Washington,USA:IEEE,1995,2:1481-1484.
[13] Jensen J A.Field:A Program for Simulating Ultrasound Systems[J].Medical and Biological Engineering and Computing,1997,34(sup.1):351-353.

Funding

National Natural Science Foundation of China (No.61261007, No.61561049); Key Program of Natural Science Foundation of Yunnan Province (No.2013FA008)
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