Speckle tracking for multi-dimensional flow estimation

被引:201
|
作者
Bohs, LN
Geiman, BJ
Anderson, ME
Gebhart, SC
Trahey, GE
机构
[1] Duke Univ, Dept Biomed Engn, Durham, NC 27708 USA
[2] Vanderbilt Univ, Dept Biomed Engn, Nashville, TN 37235 USA
关键词
angle-independent flow; flow quantification; flow velocity; vector velocity;
D O I
10.1016/S0041-624X(99)00182-1
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Speckle tracking methods overcome the major limitations of current Doppler methods for how imaging and quantification: angle dependence and aliasing. In this paper, we review the development of speckle tracking, with particular attention to the advantages and limitations of two-dimensional algorithms that use a single transducer aperture. Ensemble tracking, a recent speckle tracking method based upon parallel receive processing, is described. Experimental results with ensemble tracking indicate the ability to measure laminar flow in a phantom at a beam-vessel angle of 60 degrees, which had not been possible with previous 2D speckle tracking methods. Finally, important areas for future research in speckle tracking are briefly summarized. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:369 / 375
页数:7
相关论文
共 50 条
  • [31] Uncertainty of gas flow measurement by Multi-Dimensional Analysis
    Frederick, J
    METROLOGY - AT THE THRESHOLD OF THE CENTURY ARE WE READY?, 1999, : 497 - 497
  • [32] Special issue on multi-dimensional visualization of multiphase flow
    Takei, Masahiro
    Nihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B, 2011, 77 (784):
  • [33] A singular multi-dimensional piston problem in compressible flow
    Chen, SX
    JOURNAL OF DIFFERENTIAL EQUATIONS, 2003, 189 (01) : 292 - 317
  • [34] Multi-dimensional flow effects in pulse tube refrigerators
    Cha, J. S.
    Ghiaasiaan, S. M.
    Desai, P. V.
    Harvey, J. P.
    Kirkconnell, C. S.
    CRYOGENICS, 2006, 46 (09) : 658 - 665
  • [35] MULTI-DIMENSIONAL GAS FLOW: SOME HISTORICAL PERSPECTIVES
    Liu, Tai-Ping
    BULLETIN OF THE INSTITUTE OF MATHEMATICS ACADEMIA SINICA NEW SERIES, 2011, 6 (03): : 269 - 291
  • [36] Multi-dimensional velocity estimation with ultrasound using spatial quadrature
    Anderson, ME
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 1998, 45 (03) : 852 - 861
  • [37] Multi-Dimensional Predictive Analytics for Risk Estimation of Extreme Events
    Raghupathi, Laks
    Randell, David
    Ross, Emma
    Ewans, Kevin C.
    Jonathan, Philip
    2016 23RD IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING WORKSHOPS (HIPCW 2016), 2016, : 60 - 69
  • [38] Proactive and reactive multi-dimensional histogram maintenance for selectivity estimation
    He, Zhen
    Lee, Byung Suk
    Wang, X. Sean
    JOURNAL OF SYSTEMS AND SOFTWARE, 2008, 81 (03) : 414 - 430
  • [39] Random weighting estimation for fusion of multi-dimensional position data
    Gao, Shesheng
    Zhong, Yongmin
    Shirinzadeh, Bijan
    INFORMATION SCIENCES, 2010, 180 (24) : 4999 - 5007
  • [40] Spatial quadrature: A novel technique for multi-dimensional velocity estimation
    Anderson, ME
    1997 IEEE ULTRASONICS SYMPOSIUM PROCEEDINGS, VOLS 1 & 2, 1997, : 1233 - 1238