首页|用于超声散斑跟踪血流测速的多角度平面波局部运动补偿

用于超声散斑跟踪血流测速的多角度平面波局部运动补偿

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血流速度剖面用于计算壁面剪切率等血流动力学指标,与动脉粥样硬化病程发展密切相关.超快超声散斑跟踪广泛用于血流速度剖面估计,然而多角度平面波复合成像存在血流散射体的运动伪影,不利于流速估计.提出了一种多角度平面波复合成像的局部运动补偿法,对射频信号时间序列的相邻帧进行局部运动补偿来消除不同径向位置的运动伪影,从而提高流速测量准确性.相比直接相干复合,B-MoCo 法将仿真、仿体实验中流速测量结果的归一化均方根误差平均减小了 10.37%、37.82%,说明了B-MoCo法的有效性.基于兔骼动脉的实测实验进一步证明了B-MoCo法的临床可行性.综上,B-MoCo法能够有效提高血流速度剖面的测量精度,有助于相关心血管疾病的早期诊断与病程监测.
Multi-angle plane wave block-to-block motion compensation for blood flow velocity measurement using ultrasonic speckle tracking
Blood flow velocity profile is utilized to calculate hemodynamic indicators such as wall shear rate,etc.,which are closely related to the progression of atherosclerosis.Ultrafast ultrasound speckle tracking is widely employed for the blood flow velocity profile estimation.However,motion artifacts from blood flow scatterers in multi-angle plane wave compound imaging have an adverse impact on the flow velocity estimation.A block-to-block motion compensation method for the multi-angle plane wave compound imaging is proposed to improve the accuracy of the flow velocity measurements by eliminating motion artifacts at different radial positions by performing B-MoCo for every two neighboring frames in the time series of radio frequency signals.Compared with the direct coherent compound,the B-MoCo method reduces the normalized root mean square errors of the flow velocity estimation in the simulation and in-vitro experiments by an average of 10.37% and 37.82%,which has demonstrated the effectiveness of the B-MoCo method.The in-vivo experiments based on rabbit skeletal arteries have further demonstrated the clinical feasibility of the proposed method.In summary,the B-MoCo method can effectively improve the measurement accuracy of blood flow velocity profile,which is beneficial for the early diagnosis of related cardiovascular diseases.

ultrasonic multi-angle plane wave compoundingblock-to-block motion compensationblood flow velocity profilespeckle tracking

杜吉媛、何冰冰、郎恂、吕闻冰、张榆锋

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云南大学信息学院 昆明 650504

超声多角度平面波复合 局部运动补偿 血流速度剖面 散斑跟踪

国家自然科学基金国家自然科学基金云南省智能系统与计算重点实验室

6220149562261057202205AG070003

2024

仪器仪表学报
中国仪器仪表学会

仪器仪表学报

CSTPCD北大核心
影响因子:2.372
ISSN:0254-3087
年,卷(期):2024.45(4)