文章摘要
郝鹏慧,杜宜纲,李双双,朱磊,何绪金.结合横向振荡和空间正交的向量血流速度测量[J].声学技术,2022,41(4):539~545
结合横向振荡和空间正交的向量血流速度测量
Vector flow velocity measurement in combination with transverse oscillation and spatial quadrature
投稿时间:2020-12-08  修订日期:2021-03-03
DOI:10.16300/j.cnki.1000-3630.2022.04.009
中文关键词: 血流速度  彩色多普勒  向量血流  横向振荡  空间正交
英文关键词: flow velocity  color Doppler  vector flow  stransverse oscillation (TO)  spatial quadrature (SQ)
基金项目:广东省重点领域研发计划(2020B1111130002)。
作者单位E-mail
郝鹏慧 深圳迈瑞生物医疗电子股份有限公司, 广东深圳 518057  
杜宜纲 深圳迈瑞生物医疗电子股份有限公司, 广东深圳 518057 duyigang@mindray.com 
李双双 深圳迈瑞生物医疗电子股份有限公司, 广东深圳 518057  
朱磊 深圳迈瑞生物医疗电子股份有限公司, 广东深圳 518057  
何绪金 深圳迈瑞生物医疗电子股份有限公司, 广东深圳 518057  
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中文摘要:
      传统的彩色多普勒成像只能测量与超声波束平行的血流速度分量,且依赖于超声波束与血管之间的夹角。超声向量血流成像是一种更加先进的血流成像技术,该方法可以直接获得血流速度的实际大小和方向,因此不依赖于超声波束与血管之间的夹角。本文从向量血流测量方法之一的横向声场法入手,简要概括了横向振荡(Transverse Os‐cillation, TO)法和空间正交(Spatial Quadrature, SQ)法两种方法的基本原理、成像过程及各自的优缺点,并提出了一种互相结合的方法,即奇偶振荡法(Odd Even Oscillation, OEO),该方法利用 SQ法快速进行波束合成,利用 TO法计算最终的速度矢量,克服了 TO法和 SQ法各自的缺点,能够有效解决 TO法成像计算量大以及 SQ法出现混叠和对噪声灵敏度高的问题。
英文摘要:
      The traditional color Doppler imaging can only measure the flow velocity component parallel to the ultrasound beam, and depends on the angle between the ultrasound beam and blood vessel. Vector flow is an advanced blood flow imaging technology which can directly obtain the actual magnitude and direction of the flow velocity without relying on the angle between the ultrasound beam and the blood vessel. This paper starts with the method of transverse oscillating acoustic field, which is one of the vector flow measurement methods, briefly summarizes the basic principles, imaging process and the advantages and disadvantages of the transverse oscillation (TO) and spatial quadrature (SQ) methods. A method which combining the two methods above, named as odd-even-oscillation (OEO) method is proposed. This method uses SQ for fast beamforming and uses TO for final velocity vector calculation, and can effectively solve the problem of large amount of imaging calculation in the TO method, and the problem of aliasing and high sensitivity to noise in the SQ method.
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