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Tissue attenuation coefficient estimation using bubble harmonics with frequency diversity

机译:利用具有频率分集的气泡谐波估计组织衰减系数

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In a previous work, we developed a consistent TAC (tissue attenuation coefficient) estimator using bubble echoes. Based on temporal averaging, we can improve the estimation precision of TAC for the tissue bounded between two vessels. In this paper, we extend it to use frequency diversity for saving interrogation time by transmit multiple narrowband signals in each pulse. At first, we analyze the deterministic and stochastic properties of the diversity signals. Then a multi-band maximum likelihood diversity combiner is developed. We also provide diversity gains of different diversity estimators for comparing their estimation efficiencies. In the experimental work, we design a simplified phantom for demonstrating the performance of the purposed estimator. It is shown that the TAC estimation rate can be improved by frequency diversity. The convergence rates of single-band and multi-band estimators are compared and it is shown that the multi-band estimator is more consistent than the single-band estimator.
机译:在以前的工作中,我们使用气泡回波开发了一致的TAC(组织衰减系数)估计器。基于时间平均,我们可以提高对两血管之间组织的TAC的估计精度。在本文中,我们将其扩展为通过在每个脉冲中发送多个窄带信号来使用频率分集来节省查询时间。首先,我们分析了分集信号的确定性和随机性。然后,开发了一种多频带最大似然分集组合器。我们还提供了不同多样性估计量的多样性增益,以比较它们的估计效率。在实验工作中,我们设计了一个简化的模型来演示目标估计器的性能。结果表明,通过频率分集可以提高TAC估计率。比较了单频带估计器和多频带估计器的收敛速度,结果表明,多频带估计器比单频带估计器具有更高的一致性。

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