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Thermal dose optimization for ultrasound tissue ablation

机译:超声组织消融的热剂量优化

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A formal and general thermal dose optimisation method is developednand tested. Prior methods require brute force searches wherein thentemperature and dose distributions must be computed at each iteration bynsolving the bioheat transfer equation (BHTE) numerically. This isnextremely time-consuming and can only be used to compare a fewnprespecified strategies instead of obtaining a more general optimalnresult. With the method developed here, dose distribution can bencalculated without solving the BHTE numerically. This can be done in anmatter of a few minutes compared with many hours. Moreover, generalnthermal dose optimization can now be performed to find the optimalnstrength and location of each focus so that an optimal dose distributionnis obtained while the specified constraint is satisfied. The algorithmndeveloped here consists of a closed-form solution to the BHTE, anGaussian model for parameterizing a temperature distribution created byna power deposition pattern, and a two-step optimization technique fornobtaining the model parameters that optimize the thermal dosendistribution. Several examples are given to demonstrate theneffectiveness of the algorithm and its robustness under differentninitial conditions and under assumptions of different sizes of thentarget region and different numbers of foci. The algorithm developednhere provides an efficient and effective tool for treatment planning innultrasound tissue ablation
机译:开发并测试了正式和通用的热剂量优化方法。现有方法需要蛮力搜索,其中必须通过数值求解生物热传递方程(BHTE)在每次迭代中计算温度和剂量分布。这非常耗时,只能用于比较几个预先指定的策略,而不能获得更一般的最优结果。使用此处开发的方法,无需计算BHTE即可计算剂量分布。与许多小时相比,这只需几分钟即可完成。此外,现在可以执行常规热剂量优化以找到每个焦点的最佳强度和位置,以便在满足指定约束的同时获得最佳剂量分布。这里开发的算法包括BHTE的闭式解决方案,用于参数化由功率沉积模式创建的温度分布的高斯模型以及用于获得优化热剂量分布的模型参数的两步优化技术。给出了几个例子来说明该算法的有效性及其在不同初始条件下以及在目标区域大小不同且焦点数量不同的假设下的鲁棒性。本文开发的算法为治疗计划性超声组织消融提供了有效而有效的工具

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