摘要
为提高超声彩色血流成像质量,提出了一种基于动态区域划分的杂波抑制方法。先根据超声回波信号的幅度对血流与组织区域作出初步的划分,再根据杂波运动的非平稳性对组织区域作进一步的调整,最后对各区域用特征向量滤波器进行杂波抑制。将本方法用于计算机仿真血流信号和人体实测血流数据,结果表明:本方法在有效抑制非平稳杂波的同时,能较好地保持血流流速剖面的完整性,解决了传统均匀分段特征向量滤波器选取区间长度时的矛盾,有望成为超声彩色血流成像中一种有效的杂波抑制方法。
To improve the quality of ultrasound color flow imaging,a novel clutter rejection method is proposed based on dynamic region partition.This method firstly distinguishes the blood region from the clutter region according to their distinct echo amplitudes.Then the partition intervals for clutter regions are further adjusted based on its non-stationary characteristic.Finally,the clutter rejection is performed by the eigenvector filter in each region. The proposed method has been applied to both computer simulated blood flow signals and human experimental flow data.Results show that this method can efficiently suppress non-stationary clutter signals while the blood velocity integrity is well maintained,which solves the interval length contradiction usually encountered in the uniform region partition eigenvector filters.Therefore,this method is expected to be an efficient clutter rejection approach in ultrasound color flow imaging.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2010年第3期594-599,共6页
Chinese Journal of Scientific Instrument
基金
国家重点基础研究规划基金(2005CB724303)资助项目
关键词
超声彩色血流成像
杂波抑制
非平稳
动态区域划分
ultrasound color flow imaging
clutter rejection
non-stationary
dynamic region partition
