Advanced Search
Volume 39 Issue 2
Feb.  2017
Turn off MathJax
Article Contents
DENG Li, ZHANG Yufeng, YANG Lichun, HU Xiao, LI Zhiyao, GAO Lian, ZHANG Junhua. Accurate Performance and Associated Influence Factors for Pulse Wave Velocity Measurement of Carotid Arteries Based on Ultrasonic Transit Time Method[J]. Journal of Electronics & Information Technology, 2017, 39(2): 316-321. doi: 10.11999/JEIT160306
Citation: DENG Li, ZHANG Yufeng, YANG Lichun, HU Xiao, LI Zhiyao, GAO Lian, ZHANG Junhua. Accurate Performance and Associated Influence Factors for Pulse Wave Velocity Measurement of Carotid Arteries Based on Ultrasonic Transit Time Method[J]. Journal of Electronics & Information Technology, 2017, 39(2): 316-321. doi: 10.11999/JEIT160306

Accurate Performance and Associated Influence Factors for Pulse Wave Velocity Measurement of Carotid Arteries Based on Ultrasonic Transit Time Method

doi: 10.11999/JEIT160306
Funds:

The National Natural Science Foundation of China (61261007, 61561049 ), The Natural Science Foundation of Yunnan Province (2013FA008)

  • Received Date: 2016-03-31
  • Rev Recd Date: 2016-09-09
  • Publish Date: 2017-02-19
  • The estimation accuracy of the wall displacement, delay time, and linear-regression-based Pulse Wave Velocity (PWV) affected by different scanning frame rates and beam density is investigated quantitatively in the measurement of the regional PWV with ultrasound transit time method based on a model of pulse wave propagation along a carotid artery segment. Through statistical variance analysis, the significance levels of measurement errors as well as the primary and secondary relations of these two influence factors are ascertained. The results show that the frame rates do not significantly affect the wall displacement estimation accuracy (p0.05) with relative errors ranged from 0.23 to 0.28. The delay time measurement accuracy is influenced significantly by the frame rates and spacing between two beams simultaneously (p0.01 ). The relative errors decrease from 0.99 to 0.06 as the distances from the first beam to others increase from 2.38 mm to 38 mm. However, the mean transit time errors increase from 0.19 to 0.43 when the frame rates decrease from 1127 Hz to 226 Hz. The PWV estimation errors ranging from 7% to 20% are affected significantly by the number of beams as well as frame rates under the condition that the beams used for regression fitness are no less than 10. The frame rate is the main influence factor in this situation (p0.01 ). Therefore, the PWV measurement accuracy can be improved by increasing frame rate with a proper beam setting. Experimental results could be helpful to explore novel measurement method for improving PWV accuracy in the follow-up work.
  • loading
  • GULAN U, LUTHI B, HOLZNER M, et al. Experimental investigation of the influence of the aortic stiffness on hemodynamics in the ascending aorta[J]. IEEE Journal of Biomedical and Health Informatics, 2014, 18(6): 1775-1780. doi: 10.1007/s00348-012-1371-8.
    PETER L, FOLTYN J, and CERNY M. Pulse wave velocity measurement; developing process of new measuring device[C]. Machine Intelligence and Informatics (SAMI) 2015 IEEE 13th International Symposium, Herlany, Slovakia, 2015: 59-62. doi: 10.1109/SAMI.2015.7061846.
    LAURENT S, COCKCROFT J, and BORTEL L V. Expert consensus document on arterial stiffness; methodological issues and clinical applications[J]. European Heart Journal, 2006, 27(21): 2588-2605. doi: 10.1093/eurheartj/ehl254.
    NAGAOKA R, MASUNO G, KOBAYASHI K, et al. Measurement of regional pulse-wave velocity using spatial compound imaging of the common carotid artery in vivo[J]. Ultrasonics, 2015, 55(1): 92-103. doi: 10.1016/j.ultras.2014. 07.018.
    PILT K, KOOTS K, MEIGAS K, et al. The aortic pulse wave velocity estimation for arterial stiffness assessment[J]. IFMBE Proceedings, 2015, 45: 294-297. doi: 10.1007/978- 3-319-11128-5_73.
    RABBEN S I, STERGIOPULOS N, and HELLEVIK L R. An ultrasound-based method for determining pulse wave velocity in superficial arteries[J]. Journal of Biomechanics, 2004, 37(10): 1615-1622. doi: 10.1016/j.jbiomech.2003.12. 031.
    KANAI H, SATO M, KOIWA Y, et al. Transcutaneous measurement and spectrum analysis of heart wall vibrations[J]. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 1996, 43(5): 791-810. doi: 10.1109/58.535480.
    BRANDS J P, WILLIGERS M J, LEDOUX A L, et al. A noninvasive method to estimate pulse wave velocity in arteries locally by means of ultrasound[J]. Ultrasound in Medicine and Biology, 1998, 24(9): 1325-1335. doi: 10.1016/ S0301-5629(98)00126-4.
    HASEGAWA H, HONGO K, and KANAI H. Measurement of regional pulse wave velocity using very high frame rate ultrasound[J]. Journal of Medical Ultrasonics, 2012, 40(2): 91-98. doi: 10.1007/s10396-012-0400-9.
    SORENSEN L G, JENSEN B J, UDESEN J, et al. Pulse wave velocity in the carotid artery[C]. Proceedings of the IEEE International Ultrasonics Symposium, Beijing, China, 2008: 1386-1389. doi: 10.1109/ULTSYM.2008.0336.
    LUO J W, LI R X, and KONOFAGOU E E. Pulse wave imaging of the human carotid artery: an in vivo feasibility study[J]. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2012, 59(1): 174-181. doi: 10.1109 /TUFFC.2012.2170.
    LUO J and KONOFAGOU E E. A fast normalized cross-correlation calculation method for motion estimation[J]. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2010, 57(6): 1347-1357. doi: 10.1109/ TUFFC.2010.1554.
    JENSE J A. Speed-accuracy trade-offs in computing spatial impulse responses for simulating medical ultrasound imaging[J]. Journal of Computational Acoustics, 2001, 9(3): 731-744. doi: 10.1142/S0218396X01001248.
    BALOCCO S and BASSET O. 3D dynamic model of healthy and pathologic healthy and pathologic arteries for ultrasound technique evaluation[J]. American Association of Physicists in Medicine, 2008, 35(12): 5440-5449.doi: 10.1118/ 1.3006948.
    蔡轶珩, 张琳琳, 盛楠, 等. 基于光度立体法的中医舌体三维表面重建[J]. 电子与信息学报, 2015, 37(11): 2564-2570. doi: 10.11999/JEIT150124.
    CAI Yiheng, ZHANG Linlin, SHENG Nan, et al. 3D reconstruction of tongue surface based on photometric stereo method[J]. Journal of Electronics Information Technology, 2015, 37(11): 2564-2570. doi: 10.11999/JEIT150124.
    GAO L, ZHANG Y F, and LIN W J. A novel quadrature clutter rejection approach based on the multivariate empirical mode decomposition for bidirectional Doppler ultrasound signals[J]. Biomedical Signal Processing and Control, 2014, 13(13): 31-40. doi: 10.1016/j.bspc.2014.03.003.
    魏子翔, 崔嵬, 李霖, 等. 一种基于最大似然估计的合作目标多维参数跟踪算法[J]. 电子与信息学报, 2015, 37(6): 1450-1456. doi: 10.11999/JEIT141150.
    WEI Zixiang, CUI Wei, LI Lin, et al. Maximum likelihood estimation based algorithm for tracking cooperative target[J]. Journal of Electronics Information Technology, 2015, 37(6): 1450-1456. doi: 10.11999/JEIT141150.
    STADLER R, TAYLOR A, and LEES R. Comparison of B-mode, M-mode and echo-tracking methods for measurement of the arterial distension waveform[J]. Ultrasound in Medicine and Biology, 1997, 23(6): 879-887. doi: 10.1016/S0301-5629(97)00074-4.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1443) PDF downloads(420) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return