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Multiphysics modeling toward enhanced guidance in hepatic microwave ablation: a preliminary framework

机译:旨在增强肝微波消融指导的多物理场建模:初步框架

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摘要

We compare a surface-driven, model-based deformation correction method to a clinically relevant rigid registration approach within the application of image-guided microwave ablation for the purpose of demonstrating improved localization and antenna placement in a deformable hepatic phantom. Furthermore, we present preliminary computational modeling of microwave ablation integrated within the navigational environment to lay the groundwork for a more comprehensive procedural planning and guidance framework. To achieve this, we employ a simple, retrospective model of microwave ablation after registration, which allows a preliminary evaluation of the combined therapeutic and navigational framework. When driving registrations with full organ surface data (i.e., as could be available in a percutaneous procedure suite), the deformation correction method improved average ablation antenna registration error by 58.9% compared to rigid registration (i.e., , of average target error for corrected and rigid registration, respectively) and on average improved volumetric overlap between the modeled and ground-truth ablation zones from to for rigid and corrected, respectively. Furthermore, when using sparse-surface data (i.e., as is available in an open surgical procedure), the deformation correction improved registration error by 38.3% and volumetric overlap from to for rigid and corrected, respectively. We demonstrate, in an initial phantom experiment, enhanced navigation in image-guided hepatic ablation procedures and identify a clear multiphysics pathway toward a more comprehensive thermal dose planning and deformation-corrected guidance framework.
机译:我们将表面驱动的,基于模型的变形校正方法与临床相关的刚性配准方法进行了比较,在图像引导微波消融的应用中,以证明在可变形的肝模型中具有改进的定位和天线放置。此外,我们提出了在导航环境中集成的微波消融的初步计算模型,为更全面的程序计划和指导框架奠定了基础。为了实现这一目标,我们在注册后采用了一种简单,回顾性的微波消融模型,该模型可以对组合的治疗和导航框架进行初步评估。当驱动具有完整器官表面数据的配准时(例如,可以在经皮手术套件中获得),与刚性配准相比,变形校正方法将平均消融天线配准误差提高了58.9%(即,经校正和校正的平均目标误差)分别对应于刚性和校正后,建模消融区域和地面真相消融区域之间的体积重叠率平均提高了。此外,当使用稀疏表面数据时(即,在开放式外科手术中可用),变形校正将配准误差和刚性校正后的配准误差分别提高了38.3%和体积重叠。我们在最初的幻像实验中演示了在图像引导的肝消融程序中增强的导航,并确定了通往更全面的热剂量规划和变形校正的引导框架的清晰多物理通路。

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