Jafarpisheh Noushin, Rosado-Mendez Ivan M, Hall Timothy J, Rivaz Hassan
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:13-16. doi: 10.1109/EMBC44109.2020.9176714.
The objective of quantitative ultrasound (QUS) is to characterize tissue microstructure by parametrizing backscattered radiofrequency (RF) signals from clinical ultrasound scanners. Herein, we develop a novel technique based on dynamic programming (DP) to simultaneously estimate the acoustic attenuation, the effective scatterer size (ESS), and the acoustic concentration (AC) from ultrasound backscattered power spectra. This is achieved through two different approaches: (1) using a Gaussian form factor (GFF) and (2) using a general form factor (gFF) that is more flexible than the Gaussian form factor but involves estimating more parameters. Both DP methods are compared to an adaptation of a previously proposed least-squares (LSQ) method. Simulation results show that in the GFF approach, the variance of DP is on average 88%, 75% and 32% lower than that of LSQ for the three estimated QUS parameters. The gFF approach also yields similar improvements.
定量超声（QUS）的目标是通过对临床超声扫描仪的反向散射射频（RF）信号进行参数化来表征组织微观结构。在此，我们开发了一种基于动态规划（DP）的新技术，用于从超声反向散射功率谱中同时估计声衰减、有效散射体尺寸（ESS）和声浓度（AC）。这是通过两种不同的方法实现的：（1）使用高斯形状因子（GFF）和（2）使用比高斯形状因子更灵活但涉及估计更多参数的通用形状因子（gFF）。将这两种DP方法与先前提出的最小二乘法（LSQ）的一种改编方法进行了比较。模拟结果表明，在GFF方法中，对于三个估计的QUS参数，DP的方差平均比LSQ低88%、75%和32%。gFF方法也产生了类似的改进。
