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An Acoustic Radiation Force Impulse imaging SNR upper bound with numerical validation and 1.5D ARFI transducer design

机译:具有数值验证和1.5D ARFI换能器设计的声辐射力脉冲成像SNR上限

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Acoustic Radiation Force Impulse (ARFI) imaging techniques have utility in a number of clinical applications, such as lesion detection or diagnosis of liver or prostate disease. In modern ultrasound systems possessing high electronic signal to noise (SNRE) levels, the major limiting factor in ARFI image signal to noise (SNRARF) performance is echo decorrelation arising from differential motion across the point spread function. In this paper, we present an analytical model for an upper bound on SNRARF beginning with previous work describing theoretical echo decorrelation and a lower bound on displacement estimation variance. Using information gained from this analysis, we propose a new optimized 1.5D ARFI transducer array design that increases the ratio of pushing to tracking beam widths, reduces echo decorrelation and increases SNRARF in comparison with conventional 1D arrays currently used for ARFI imaging. The performance of the 1D conventional and optimized 1.5D ARFI transducers are compared using a FIELD II and finite element model (FEM) numerical simulation framework. Our simulation framework confirms our analytical expression for an upper bound on SNRARF. Lesion images from our numerical simulations produce a 4.5dB contrast to noise (CNR) improvement with the proposed 1.5D ARFI array.
机译:声辐射力脉冲(ARFI)成像技术可在许多临床应用中使用,例如病变检测或肝或前列腺疾病的诊断。在具有高电子信噪比(SNR E )水平的现代超声系统中,ARFI图像信噪比(SNR ARF )性能的主要限制因素是回声解相关跨点扩散函数的差动运动。在本文中,我们介绍了SNR ARF 的上限的分析模型,从先前的工作开始,即描述理论回波解相关和位移估计方差的下限。利用从分析中获得的信息,我们提出了一种新的优化的1.5D ARFI换能器阵列设计,与目前的传统1D阵列相比,该设计增加了推力与跟踪光束宽度的比率,减少了回波解相关并提高了SNR ARF 用于ARFI成像。使用FIELD II和有限元模型(FEM)数值模拟框架对一维常规和优化的1.5D ARFI传感器的性能进行了比较。我们的仿真框架证实了我们对SNR ARF 的上限的解析表达式。利用我们提出的1.5D ARFI阵列,通过数值模拟获得的病变图像可将噪声比(CNR)改善4.5dB。

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