Analysis of Echo Signal from Single Ultrasound Contrast Microbubble Using a reversible jump MCMC Algorithm
Analysis of Echo Signal from Single Ultrasound Contrast Microbubble Using a reversible jump MCMC Algorithm
复制标题
使用可逆跳跃 MCMC 算法分析来自单个超声对比微泡的回波信号
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
V. Sboros
中科院分区：
文献类型：
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作者：
Yan Yan;J. Hopgood;V. Sboros
非线性微泡信号的理解和利用是一个活跃的研究领域，旨在将造影超声推进到一个高灵敏度和特异性的诊断成像模式。为了区分来自组织的回波与来自造影剂微泡的回波之间的差异，特别感兴趣的是估计时域中的反射信号脉冲位置及其频域中的频谱内容。因此，本文介绍了一种稳健的统计信号处理技术--可逆跳马尔可夫链蒙特卡罗（rjMCMC）算法，用于超声造影剂（UCA）回波信号的分析。该算法提供了许多优于传统的基于傅立叶变换的技术的优点。此外，我们的研究结果还表明，频率分量和脉冲位置可以同时准确地估计，这有助于在未来的工作中表征信号内容和发射脉冲制度的设计。
The understanding and exploitation of non-linear microbubble signals is an active research area that aims to advance contrast ultrasound into a high sensitivity and specificity diagnostic imaging modality. In order to discriminate the difference between echoes from tissue and contrast microbubbles, it is of particular interest to estimate the reflected signal pulse location in the time domain and its spectral content in the frequency domain. Therefore, a reversible jump Markov chain Monte Carlo (rjMCMC) algorithm, a robust statistical signal processing technique, is introduced in this paper for the analysis of echo signals from Ultrasound Contrast Agents (UCAs). This algorithm provides many advantages over conventional Fourier transform based techniques. Furthermore, our results also show that the frequency components and pulse location can be accurately estimated simultaneously, which assists in characterising the signal content and the design of transmit pulsing regimes in future work.