El-Kebir Hamza, Ran Junren, Lee Yongseok, Chamorro Leonardo P, Ostoja-Starzewski Martin, Berlin Richard, Aguiluz Cornejo Gabriela M, Benedetti Enrico, Giulianotti Pier C, Bentsman Joseph
Dept. of Aerospace Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA.
Dept. of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA.
ArXiv. 2023 Jan 23:arXiv:2301.09733v1.
We present a novel thermodynamic parameter estimation framework for energy-based surgery on live tissue, with direct applications to tissue characterization during electrosurgery. This framework addresses the problem of estimating tissue-specific thermodynamics in real-time, which would enable accurate prediction of thermal damage impact to the tissue and damage-conscious planning of electrosurgical procedures. Our approach provides basic thermodynamic information such as thermal diffusivity, and also allows for obtaining the thermal relaxation time and a model of the heat source, yielding in real-time a controlled hyperbolic thermodynamics model. The latter accounts for the finite thermal propagation time necessary for modeling of the electrosurgical action, in which the probe motion speed often surpasses the speed of thermal propagation in the tissue operated on. Our approach relies solely on thermographer feedback and a knowledge of the power level and position of the electrosurgical pencil, imposing only very minor adjustments to normal electrosurgery to obtain a high-fidelity model of the tissue-probe interaction. Our method is minimally invasive and can be performed . We apply our method first to simulated data based on porcine muscle tissue to verify its accuracy and then to liver tissue, and compare the results with those from the literature. This comparison shows that parameterizing the Maxwell-Cattaneo model through the framework proposed yields a noticeably higher fidelity real-time adaptable representation of the thermodynamic tissue response to the electrosurgical impact than currently available. A discussion on the differences between the live and the dead tissue thermodynamics is also provided.
我们提出了一种用于活体组织能量手术的新型热力学参数估计框架，可直接应用于电外科手术中的组织表征。该框架解决了实时估计组织特异性热力学的问题，这将能够准确预测热损伤对组织的影响以及电外科手术的损伤意识规划。我们的方法提供了诸如热扩散率等基本热力学信息，还允许获得热弛豫时间和热源模型，实时生成一个可控的双曲热力学模型。后者考虑了电外科手术建模所需的有限热传播时间，其中探头运动速度通常超过所操作组织中的热传播速度。我们的方法仅依赖于热成像仪反馈以及对电外科笔功率水平和位置的了解，只需对正常电外科手术进行非常小的调整，就能获得组织 - 探头相互作用的高保真模型。我们的方法微创且可实施。我们首先将我们的方法应用于基于猪肌肉组织的模拟数据以验证其准确性，然后应用于肝脏组织，并将结果与文献中的结果进行比较。这种比较表明，通过所提出的框架对麦克斯韦 - 卡塔尼奥模型进行参数化，与目前可用的方法相比，能产生对电外科冲击的热力学组织响应更高保真的实时可适应表示。还提供了关于活体组织和死亡组织热力学差异的讨论。
