本研究旨在通过优化非周期三槽同轴天线的结构、插入深度和输入功率，展示肝脏肿瘤的调整微波消融（MWA）的可行性。我们建立了一个在2.45 GHz频率下操作的非周期三槽同轴天线的计算机MWA模型，并通过猪健康肝脏的离体和体内实验进行了验证。通过经过验证的体内计算机MWA模型实施带有肝肿瘤的消融，我们研究了肝脏肿瘤的调整消融。我们研究了不同大小和形状的五个肝肿瘤。我们使用了遗传算法优化方法（NSGA-II）来优化天线的结构、天线的插入深度和微波天线的输入功率，以实现肝脏肿瘤的调整消融。验证结果表明，在45 W、5 min和60 W、3 min的处理以及体内45 W、5 min的处理中，计算机模型与离体实验在时空温度分布和消融区域两方面达到了良好的一致性。优化的模拟结果证实，通过优化非周期三槽同轴天线、天线插入深度和微波天线的输入功率，可以调整消融不同大小和形状的五种肝肿瘤。该论文证明，无论肝脏肿瘤的大小和形状如何，都可以通过优化非周期三槽同轴天线的插入深度和输入功率实现调整消融。版权所有 © 2023 Elsevier B.V.。保留所有权利。

This study aims to demonstrate that the conformal microwave ablation (MWA) of liver tumors could be attained by optimizing the structure of an aperiodic tri-slot coaxial antenna, its insertion depth, and input power.A computational MWA model with an aperiodic tri-slot coaxial antenna operating at the frequency of 2.45 GHz was built and validated by both an ex vivo and a pilot in vivo experiment with porcine healthy livers. The validated in vivo computational MWA model implemented with a liver tumor was then used as a testbed to investigate the conformal ablation of liver tumors. Five liver tumors in different sizes and shapes were investigated. A genetic algorithm optimization method (NSGA-II) was used to optimize the structure of antenna, insertion depth of antenna, and microwave antenna input power for the conformal ablation of liver tumors.The validation results showed that a good agreement in both the spatiotemporal temperature distribution and ablation zone was found between the computer model and the ex vivo experiments at both 45 W, 5 min and 60 W, 3 min treatments and the in vivo experiment at 45 W, 5 min treatment. The optimized simulation results confirmed that five cases of liver tumors in different sizes and shapes can be conformally ablated by optimizing the aperiodic tri-slot coaxial antenna, antenna insertion depth, and microwave antenna input power.This paper demonstrates that the aperiodic tri-slot coaxial antenna can be optimized with the insertion depth and input power for the conformal ablation of liver tumors, regardless the size and shape of liver tumors.Copyright © 2023 Elsevier B.V. All rights reserved.