消融术中热监测用主动PZT元件声速估计:可行性研究

Younsu Kim, Xiaoyu Guo, Alexis Cheng, E. Boctor
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引用次数: 2

摘要

在消融治疗过程中控制热剂量有助于成功切除肿瘤,同时保留周围的健康组织。在实际情况中,外科医生必须能够确定肿瘤区域的消融完整性。已经提出了多种方法来监测它,其中一种方法是使用超声,因为它是一种常见的术中成像方式,因为它具有无创,成本效益和方便的性质。在我们的方法中,我们建议使用飞行时间(ToF)信息来估计声音变化的速度。准确的声速估计是至关重要的,因为它与温度变化和随后的烧蚀完整性的确定直接相关。我们以圆形的方式划分感兴趣的区域,从烧蚀器尖端开始具有可变半径。我们在每个子区域中引入了有效声速的概念。我们的主动PZT元件控制系统通过允许我们获取PZT元件和每个超声元件之间的单向ToF信息,促进了这种独特的方法。通过仿真和实验验证了该方法的可行性。仿真结果表明,在离散模型中可以计算出误差在0.02m/s以内的有效声速。我们还对该模型进行了敏感性分析。大多数实验结果误差小于1%。用高斯连续模型模拟了多个PZT单元。模拟了单元位置对优化结果的影响。
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Speed of sound estimation with active PZT element for thermal monitoring during ablation therapy: feasibility study
Controlling the thermal dose during ablation therapy is instrumental to successfully removing the tumor while preserving the surrounding healthy tissue. In the practical scenario, surgeons must be able to determine the ablation completeness in the tumor region. Various methods have been proposed to monitor it, one of which uses ultrasound since it is a common intraoperative imaging modality due to its non-invasive, cost-effective, and convenient natures. In our approach, we propose to use time of flight (ToF) information to estimate speed of sound changes. Accurate speed of sound estimation is crucial because it is directly correlated with temperature change and subsequent determination of ablation completeness. We divide the region of interest in a circular fashion with a variable radius from the ablator tip. We introduce the concept of effective speed of sound in each of the sub-regions. Our active PZT element control system facilitates this unique approach by allowing us to acquire one-way ToF information between the PZT element and each of the ultrasound elements. We performed a simulation and an experiment to verify feasibility of this method. The simulation result showed that we could compute the effective speed of sound within 0.02m/s error in our discrete model. We also perform a sensitivity analysis for this model. Most of the experimental results had less than 1% error. Simulation using a Gaussian continuous model with multiple PZT elements is also demonstrated. We simulate the effect of the element location one the optimization result.
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