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TDOA-based microwave imaging algorithm for real-time microwave ablation monitoring

机译:基于TDOA的微波成像实时微波消融监测算法

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摘要

Microwave ablation is widely recognized as a promising minimally invasive tool for treating 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. Our proposed algorithm determines the boundary of the ablation zone by exploiting the time difference of arrival (TDOA) between signals received before and during the ablation at external antennas surrounding the tissue, using the interstitial ablation antenna as the transmitter. A significant advantage of this method is that it requires few assumptions about the 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 robust performance in the presence of noise. We investigate the performance of this approach for the application of breast tumor ablation. We use simulated array measurements obtained from finite-difference time-domain simulations of magnetic resonance imaging-derived numerical breast phantoms. The results demonstrate that our proposed method offers the potential to achieve millimeter-order accuracy and real-time operation in estimating the boundary of the ablation zone in heterogeneous and dispersive breast tissue.
机译:微波消融被广泛认为是一种有前途的微创治疗癌症的工具。实时监测消融区域的尺寸对于确保有效和安全的治疗是必不可少的。在本文中,我们提出了一种微波成像算法来监测消融区的演变。我们提出的算法通过利用组织间消融天线作为发射器,利用消融之前和期间在组织周围的外部天线处接收到的信号之间的到达时间差(TDOA),来确定消融区域的边界。该方法的显着优点是,它不需要对传播介质的介电特性做任何假设。同样,信号处理的简单性(其中TDOA是由互相关计算确定的)允许进行实时监视并在存在噪声的情况下提供强大的性能。我们调查这种方法在乳腺肿瘤消融应用中的性能。我们使用从磁共振成像派生的数值乳腺体模的有限差分时域模拟获得的模拟阵列测量值。结果表明,我们提出的方法为估计异质性和分散性乳腺组织消融区域的边界提供了实现毫米级精度和实时操作的潜力。

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