TDOA-based microwave imaging algorithm for real-time monitoring of microwave ablation
TDOA-based microwave imaging algorithm for real-time monitoring of microwave ablation
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DOI：
10.23919/eucap.2017.7928203
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发表时间：
2017-03
期刊：
影响因子：
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通讯作者：
S. Kidera;L. M. Neira;B. V. Van Veen;S. Hagness
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文献类型：
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作者：
S. Kidera;L. M. Neira;B. V. Van Veen;S. Hagness
微波消融(MWA)被广泛认为是一种很有前途的癌症治疗工具。实时监测消融区的大小对于确保有效和安全的治疗是必不可少的。在本文中，我们提出了一种用于监测消融区演化的微波成像算法。该算法利用组织周围外部天线接收到的消融前信号和消融期间信号之间的到达时间差(TDOA)来估计消融区的边界，并使用间隙消融天线作为发射器。这种方法的一个显著优点是，它几乎不需要关于传播介质介电性质的空间分布的假设。此外，信号处理的简单性允许实时监控并提供抗噪估计，其中TDOA是通过互相关计算来确定的。我们使用从磁共振数字乳房模体的FDTD模拟获得的模拟阵列测量来研究该方法的性能。结果表明，我们提出的方法在估计非均匀和弥散的乳腺组织中的消融区边界方面具有达到毫米级精度的潜力。
Microwave ablation (MWA) is widely recognized as a promising treatment tool for cancer. Real-time monitoring of the dimensions of the ablation zone is indispensable for ensuring an effective and safe treatment. In this paper, we propose a microwave imaging algorithm for monitoring the evolution of the ablation zone. This algorithm estimates the boundary of the ablation zone by exploiting the time difference of arrival (TDOA) between pre- and during-ablation signals received at external antennas surrounding the tissue, using the interstitial ablation antenna as the transmitter. A notable advantage of this method is that it requires few assumptions about the spatial distribution of dielectric properties of the propagation media. Also the simplicity of the signal processing, wherein the TDOA is determined from a cross-correlation calculation, allows real-time monitoring and provides noise-robust estimations. We investigate the performance of this approach using simulated array measurements obtained from FDTD simulations of MRI-derived numerical breast phantoms. The results demonstrate that our proposed method offers the potential to achieve millimeter order accuracy in estimating the boundary of the ablation zone in heterogeneous and dispersive breast tissue.