Accurate and efficient prediction of soft tissue temperatures is essential to computer-assisted treatment systems for thermal ablation. It can be used to predict tissue temperatures and ablation volumes for personalised treatment planning and image-guided intervention. Numerically, it requires full nonlinear modelling of the coupled computational bioheat transfer and biomechanics, and efficient solution procedures; however, existing studies considered the bioheat analysis alone or the coupled linear analysis, without the fully coupled nonlinear analysis. We present a coupled thermo-visco-hyperelastic finite element algorithm, based on finite-strain thermoelasticity and total Lagrangian explicit dynamics. It considers the coupled nonlinear analysis of (i) bioheat transfer under soft tissue deformations and (ii) soft tissue deformations due to thermal expansion/shrinkage. The presented method accounts for anisotropic, finite-strain, temperature-dependent, thermal, and viscoelastic behaviours of soft tissues, and it is implemented using GPU acceleration for real-time computation. We also demonstrate the translational benefits of the presented method for clinical applications using a simulation of thermal ablation in the liver. The key advantage of the presented method is that it enables full nonlinear modelling of the anisotropic, finite-strain, temperature-dependent, thermal, and viscoelastic behaviours of soft tissues, instead of linear elastic, linear viscoelastic, and thermal-only modelling in the existing methods. It also provides high computational speeds for computer-assisted treatment systems towards enabling the operator to simulate thermal ablation accurately and visualise tissue temperatures and ablation zones immediately.

中文翻译：

---

对用于热消融治疗的软组织进行实时有限应变各向异性热粘弹性动力学分析

准确有效地预测软组织温度对于热消融的计算机辅助治疗系统至关重要。它可用于预测组织温度和消融体积，以进行个性化治疗计划和图像引导干预。在数值上，它需要耦合计算生物传热和生物力学的完全非线性建模，以及有效的求解程序；然而，现有研究只考虑了生物热分析或耦合线性分析，没有完全耦合非线性分析。我们提出了一种基于有限应变热弹性和总拉格朗日显式动力学的耦合热粘超弹性有限元算法。它考虑了 (i) 软组织变形下的生物传热和 (ii) 由于热膨胀/收缩引起的软组织变形的耦合非线性分析。所提出的方法考虑了软组织的各向异性、有限应变、温度相关、热和粘弹性行为，并使用 GPU 加速进行实时计算。我们还使用肝脏中的热消融模拟证明了所提出的方法在临床应用中的转化优势。所提出方法的主要优点是它能够对软组织的各向异性、有限应变、温度相关、热和粘弹性行为进行完全非线性建模，而不是在软组织中进行线弹性、线性粘弹性和仅热建模。现有的方法。