基于改进牛顿迭代的超声回波跟踪

Z. Hongmei, Chen Mingjie, Sun Xiwei, Feng Naizhang
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摘要

在临床医学中,动脉弹性反映了舒张功能,是诊断心血管疾病的重要指标之一。超声回波跟踪是近年来兴起的一种检测动脉弹性的新技术。通过对人体不同器官和组织内的超声回波信号进行处理,得到动脉弹性系数。在超声回波跟踪中,准确估计两个信号间的时移或相移是弹性估计的关键问题。虽然相关技术可以实现,但其计算问题是实现的瓶颈。本文采用改进的牛顿迭代算法对超声回波信号进行时移估计,实现了精确的时间位移估计,同时克服了混叠问题。此外,由于超声回波数据量大,且其中很大一部分是不必要的,因此提出了一种自适应检测血管位置跟踪门设置技术来提高数据处理效率,在一定程度上降低了计算复杂度,提高了数据处理效率。
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Ultrasonic Echo Tracking Based on Improved Newton Iteration
In clinical medicine, the elasticity of artery reflects diastolic function, and it is one of the important indicators of diagnosis of cardiovascular disease. Ultrasonic echo tracking is a kind of new technology risen in recent years to detect arterial elasticity. Arterial elasticity coefficients are got by processing the ultrasound echo signal transmitted in different organs and tissue of human. In ultrasonic echo tracking, accurately estimate the time shift between two signals or phase shift is the key problem of elasticity estimation. Although the correlated technique can be used to realize, yet its calculation problem is the bottleneck of the implementation. In this paper, an improved Newton iterative algorithm was applied to estimate time shift of ultrasonic echo signal, so the precise time displacement estimation was achieved, and the problem of aliasing was overcome at the same time. In addition, because the ultrasonic echo data is large, and large part of it is unnecessary, so an adaptive testing blood vessel position tracking gate setting technology is proposed to improve the efficiency of data processing, and it reduced the computational complexity to a certain extent and improve the efficiency of data processing.
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