电子学报 ›› 2017, Vol. 45 ›› Issue (12): 2903-2908.DOI: 10.3969/j.issn.0372-2112.2017.12.011

• 学术论文 • 上一篇    下一篇

颈动脉B超估计血管壁搏动位移的干扰抑制

张晴晖1,2, 张榆锋1, 林文晶1, 周屹1, 章克信3, 高莲1   

  1. 1. 云南大学信息学院电子工程系, 云南昆明 650091;
    2. 西南林业大学计算机与信息学院, 云南昆明 650224;
    3. 昆明医学院第二附属医院, 云南昆明 650031
  • 收稿日期:2016-08-21 修回日期:2016-12-03 出版日期:2017-12-25 发布日期:2017-12-25
  • 作者简介:张晴晖,男,1974年3月出生,四川南充市人.副教授、硕士生导师.2002年在电子科技大学获得硕士学位,现为云南大学博士生.主要研究方向为医学超声工程、信号处理、无线传感器网络、嵌入式技术等.E-mail:huizq13@gmail.com;张榆锋,男,1965年4月出生,云南大理人.教授、博士生导师、中国电子学会会员、IEEE高级会员.2008年在云南大学获工学博士学位.现主要从事数字信号处理理论与微弱信号检测、医学超声工程等方面的研究工作.E-mail:yfengzhang@yahoo.com
  • 基金资助:
    国家自然科学基金(No.61261007,No.61561049);云南省自然科学基金重点项目(No.2013FA008)

A Disturbance Rejection Method for Displacement Estimation of Carotid Wall

ZHANG Qing-hui1,2, ZHANG Yu-feng1, LIN Wen-jing1, ZHOU Yi1, ZHANG Ke-xin3, GAO Lian1   

  1. 1. Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan 650091, China;
    2. School of Computer and Information, Southwest Forestry University, Kunming, Yunnan 650224, China;
    3. Cardiovascular Department, the Second Affiliated Hospital of Kunming Medical College, Kunming, Yunnan 650031, China
  • Received:2016-08-21 Revised:2016-12-03 Online:2017-12-25 Published:2017-12-25

摘要: 超声检测时,由于测量者把握探头的不稳定、受试者的呼吸运动等造成的干扰,将对通过B超图像进行斑点跟踪提取到的动脉壁位移的精度造成影响.为此,本文提出基于B超序列相位图像的全局刚性特征进行配准消除干扰.相位特征通过对B超图像进行Riesz变换,再采用高斯差分法提取得到.为了更快地完成寻优,减少配准误差,采用了基于位置加权的主轴质心法与互信息相结合的分阶段的配准方法.结果表明,与直接对B超或相位图采用斑点跟踪的方法相比,该方法有效去除了干扰,管壁位移提取的精度有显著提高.本文方法还可用于心脑等医学图像的配准.

关键词: B型超声, 血管壁搏动检测, 刚性配准, 相位特征, 主轴质心法, 斑点跟踪, 互信息, 各向异性斑点减少

Abstract: The disturbances caused by the instability of probe hold and the breathing exercise from subjects,are introduced during B-ultrasound examination.It decreases the measuring accuracy of the arterial wall displacement obtained from the B-Mode images by speckle tracking method.Thus,we propose a global rigid-registration method based on phase images of B-Mode images to eliminate these external disturbances.The phase features are obtained from B-Mode images via Riesz transform and difference of Gaussian filters.To improve the speed of searching optimization and the registration accuracy,a stepwise registration method is applied based on position weighted principal axis and centroid method combined with mutual information.The results show that,compared with these schemes of extracting wall displacement directly from B-Mode or phase images by speckle tracking method,this scheme can effectively remove these disturbances,and significantly improve the estimation accuracy.The proposed method can also be used in image registration of cardio-cerebro diseases.

Key words: B-Mode ultrasound, vessel wall pulsatile detection, rigid registration, phase feature, principal axis and centroid method, speckle tracking, mutual information, speckle reducing anisotropic diffusion

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