JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (2): 94-99.doi: 10.6040/j.issn.1672-3961.0.2016.325

Previous Articles     Next Articles

Cardiac cycle estimation of echocardiography with speckle tracking

JIN Peipei1, SUN Fengrong1*, LIU Fanglei1, YAO Guihua2   

  1. 1. School of Information Science and Engineering, Shandong University, Jinan 250100, Shandong, China;
    2. Cardiology Department of Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
  • Received:2016-08-14 Online:2017-04-20 Published:2016-08-14

Abstract: A cardiac cycle estimation method of echocardiography was proposed based on block matching speckle tracking. The position and movement of speckles or speckle pattern within the area of myocardial tissue on echocardiographic images was tracked and recorded, by selecting the regions of interest(ROI)inside the myocardial wall. By calculating the displacement of speckles in the ROI, the length and the start of cardiac cycle was estimated with the sum of absolute differences(SAD)algorithm, and the method was validated by simulated echocardiographic sequences. The experiment results showed a high consistency between theoretical values and actual ones of the cardiac cycle. This method could estimate the length and the start of cardiac cycle effectively and reliably.

Key words: diamond search, block matching, echocardiography, cardiac cycle, speckle tracking

CLC Number: 

  • TP391.41
[1] EGAN M, LONGESCU A. The pocket echocardiogragh: a useful new tool? [J]. European Journal of Echocardiography, 2008, 9(3):971-975.
[2] AASE S A, DALEN H, SNARE S R, et al. Echocardiography without electrocardiogram[J]. European Journal of Echocardiography, 2011, 21(2):474-510.
[3] BREKKE S, TEGNANGER E, TORP H G. Tissue doppler gated(TDOG)dynamic three-dimensional ultrasound imaging of the fetal heart[J]. Ultrasound Obset Gynecol, 2004, 24(4):192-198.
[4] ROBINSON D E, CHEN F, WILSON L S. Measurement of velocity of popogation from ultrasonic pulse-echo data[J]. Ultrasound in Medicine and Biology, 1982, 8(1):413-420.
[5] SUN Fengrong, WANG Xiaojing, YAO Guihua, et al. Measurement of left ventricular torsion using block-matching based speckle tracking for 2D echocardiography[J]. Journal of Electronic Imaging, 2013, 22(1):101-104.
[6] LIANG T, YUNG L, YU W. On feature motion decorrelation in ultrasound speckle tracking[J]. IEEE Transactions on Medical Imaging, 2013, 32(2):435-448.
[7] BRETT B, TRAHEY G E, MARK P. Bayesian speckle tracking: part I: an implementable perturbation to the likelihood function for ultrasound displacement estimation[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2013, 60(1):132-143.
[8] TOUFIK Z, MAURICE L R. Optical-flow-based b-mode elastography: application in the hypertensive ratcarotid[J]. IEEE Transactions on Medical Imaging, 2010, 29(2): 570-578.
[9] LUBINSKI M A, EMELIANOV S Y, DONNELL M O. Speckle tracking methods for ultrasonic elasticity imaging using short time correlation[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1999, 46(1):82-96.
[10] PAN X, GAO J, TAO S, et al. A two-step optical flow method for strain estimation in elastography: simulation and phantom study[J]. Ultrasonics, 2014, 54(4):990-996.
[11] VOIGT J U, PEDRIZZETTI G, LYSYANSKY P, et al. Definitions for a common standard for 2D speckle tracking echocardiography: consensus document of the EACVI/ASE/industry task force to standardize deformation imaging[J]. Journal of the American Society of Echocardiography, 2015, 28(1):183-193.
[12] HEIMDAL A, STOYLEN A, TORP H, et al. Real-time strain rate imaging of the left ventricle by ultrasound[J]. Journal of the American Society of Echocardiography, 1998, 11(11):1013-1019.
[13] KALUZYNSKI K, CHEN X, EMELIANOV S Y, et al. Strain rate imaging using two-dimensional speckle tracking[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2001, 48(4):1111-1123.
[14] LEITMAN M, LYSYANSKY P, SIDENKO S, et al. Two-dimensional strain-a novel software for real-time quantitative echocardiographic assessment of myocardial function[J]. Journal of the American Society of Echocardiography, 2004, 17(5):1021-1029.
[15] PEDRIZZETTI G, TONTI G. Method for estimating tissue velocity vectors and tissue deformation from ultrasonic diagnostic imaging data: US 8029444 B2[P]. 2011-08-18.
[16] NOTOMI Y, LYSYANSKY P, SETSER RM, et al. Measurement of ventricular torsion by two-dimensional ultrasound speckle tracking imaging[J]. Journal of the American College of Cardiology, 2005, 45(3):2034-2041.
[17] 贾晓波,孙丰荣,姚桂华.基于散斑跟踪的扭转力矩计算[J].系统仿真学报, 2009, 21(7):2102-2105. JIA Xiaobo, SUN Fengrong, YAO Guihua. Measurement of ventricular torsion with speckle tracking[J]. Journal of System Simulation, 2009, 21(7):2102-2105.
[18] MEUNIER J, BERTRAND M. Ultrasonic texture motion analysis: theory and simulation[J]. IEEE Transactions on Medical Imaging, 1995, 14(2):293-300.
[19] BALJATYA A. Block matching algorithms for motion estimation[J].IEEE Transactions on Evolutionary Computation, 2004, 8(3):225-239.
[20] 王晓婧. 散斑跟踪技术在超声心动图图像分析处理中的应用研究[D].济南:山东大学, 2007. WANG Xiaojing. The application research of speckle tracking in echocardingraphy processing and analysis[D]. Jinan: Shandong University, 2007.
[1] WANG Guoxin, CHEN Fengdong, LIU Guodong. Feature extraction method of color pseudo-random coded structured light [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(5): 55-60.
[2] ZHAO Ye, HE Xiao, ZHOU Donghua. On least squares fault estimation with incorrect measurement noise statistics [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(5): 254-262.
[3] ZOU Guofeng, FU Guixia, LI Zhenmei, LI Haitao, WANG Kejun. Face image quality evaluation method based on the fusion of two level evaluation indexes [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(2): 6-13.
[4] WANG Na, CHEN Guodong, CHEN Yi. A bleeding simulation algorithm for skin surface based on improved SPH method [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(1): 22-27.
[5] XIE Zhi-hua. A novel blood perfusion construction model and its application in infrared face recognition [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2013, 43(5): 1-5.
[6] LIN Zhe1, YAN Jing-wen2, YUAN Ye2. Multi-modality image fusion based on sparse representation and PCNN [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2013, 43(4): 13-17.
[7] LV Xing,SHI Zhong-ke . Design and implementation of a realtime motion detection method based on DirectShow [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(6): 5-9 .
[8] WANG Mei,WANG Guo-hong . New method the vehical license plate character segmentation based on concomitant and complementary color features [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(1): 31-34 .
[9] ZHANG Zhi-wen,SONG Shi-jun, . Circle locating method based on roundness [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(1): 19-22 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!