超声传输时间法颈动脉脉搏波速估计精度及影响因素研究

邓丽; 张榆锋; 杨丽春; 胡晓; 李支尧; 高莲; 张俊华

doi:10.11999/JEIT160306

超声传输时间法颈动脉脉搏波速估计精度及影响因素研究

doi: 10.11999/JEIT160306

1.
(云南大学信息学院昆明 650091) ②(昆明医科大学第三附属医院昆明 650031)

基金项目:

国家自然科学基金(61261007, 61561049)，云南省自然科学基金(2013FA008)

计量
- 文章访问数: 1446
- HTML全文浏览量: 436
- PDF下载量: 420
- 被引次数: 0
出版历程
- 收稿日期: 2016-03-31
- 修回日期: 2016-09-09
- 刊出日期: 2017-02-19

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

1.
(Information School, Yunnan University, Kunming 650091, China)
2.
(The Third Affiliated Hospital of Kunming Medical University, Kunming 650031, China)

Funds:

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

摘要

摘要: 该文基于传播模型定量分析了超声传输时间法检测局部脉搏波速(PWV)过程中扫描帧频与声束数对脉动位移曲线估计、延迟时间估计及PWV拟合的估计精度，采用方差分析确定了误差显著性和影响因素的主次关系。结果表明，脉动位移相对误差在0.23~0.28之间，帧频对其估计精度影响不显著( p0.05)；延迟时间估计同时受声束对距离和帧频的影响(p0.01 )，声束对间距从2.38 mm 增大到 38 mm , 平均相对误差由0.99减至0.06；帧频从1127 Hz 减小为226 Hz，平均相对误差由0.19 增至 0.43; PWV拟合受声束数及帧频的共同影响，声束数不小于10时，估计误差为7%~20%，帧频为主要影响因素(p0.01 )。因此，在保证合理声束数条件下，提高帧频可改善PWV的估计精度。结果有助于为后续PWV检测精度的改进研究提供依据。
- 超声射频信号 /
- 颈动脉 /
- 脉搏波速 /
- 精度性能
Abstract: 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.
- Ultrasound radio frequency signal /
- Carotid artery /
- Pulse wave velocity /
- Accurate performance

HTML全文

参考文献(20)

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.

施引文献

资源附件(0)

访问统计