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在射频消融治疗规划中使用有限元模型优化电极放置。

Optimizing electrode placement using finite-element models in radiofrequency ablation treatment planning.

作者信息

Chen Chun-Cheng R, Miga Michael I, Galloway Robert L

机构信息

Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA.

出版信息

IEEE Trans Biomed Eng. 2009 Feb;56(2):237-45. doi: 10.1109/TBME.2008.2010383. Epub 2008 Dec 2.

Abstract

Conventional radiofrequency ablation (RFA) planning methods for identifying suitable electrode placements typically use geometric shapes to model ablation outcomes. A method is presented for searching electrode placements that couples finite-element models (FEMs) of RFA together with a novel optimization strategy. The method was designed to reduce the need for model solutions per local search step. The optimization strategy was tested against scenarios requiring single and multiple ablations. In particular, for a scenario requiring multiple ablations, a domain decomposition strategy was described to minimize the complexity of simultaneously searching multiple electrode placements. The effects of nearby vasculature on optimal electrode placement were also studied. Compared with geometric planning approaches, FEMs could potentially deliver electrode placement plans that provide more physically meaningful predictions of therapeutic outcomes.

摘要

用于确定合适电极放置位置的传统射频消融(RFA)规划方法通常使用几何形状来模拟消融结果。本文提出了一种将RFA的有限元模型(FEM)与一种新颖的优化策略相结合来搜索电极放置位置的方法。该方法旨在减少每个局部搜索步骤的模型求解需求。针对需要单次和多次消融的情况对优化策略进行了测试。特别是对于需要多次消融的情况,描述了一种区域分解策略,以最小化同时搜索多个电极放置位置的复杂性。还研究了附近脉管系统对最佳电极放置的影响。与几何规划方法相比,有限元模型有可能提供能对治疗结果做出更具物理意义预测的电极放置方案。

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