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High-resolution temperature-based optimization for hyperthermia treatment planning

机译:基于温度的高分辨率优化热疗治疗计划

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In regional hyperthermia, optimization techniques are valuable in order to obtain amplitude/phase settings for the applicators to achieve maximal tumour heating without toxicity to normal tissue. We implemented a temperature-based optimization technique and maximized tumour temperature with constraints on normal tissue temperature to prevent hot spots. E-field distributions are the primary input for the optimization method. Due to computer limitations we are restricted to a resolution of 1 x 1 x 1 cm(3) for E-field calculations, too low for reliable treatment planning. A major problem is the fact that hot spots at low-resolution (LR) do not always correspond to hot spots at high-resolution (HR), and vice versa. Thus, HR temperature-based optimization is necessary for adequate treatment planning and satisfactory results cannot be obtained with LR strategies. To obtain HR power density (PD) distributions from LR E-field calculations, a quasi-static zooming technique has been developed earlier at the UMC Utrecht. However, quasi-static zooming does not preserve phase information and therefore it does not provide the HR E-field information required for direct HR optimization. We combined quasi-static zooming with the optimization method to obtain a millimetre resolution temperature-based optimization strategy. First we performed a LR (1 cm) optimization and used the obtained settings to calculate the HR (2 mm) PD and corresponding HR temperature distribution. Next, we performed a HR optimization using an estimation of the new HR temperature distribution based on previous calculations. This estimation is based on the assumption that the HR and LR temperature distributions, though strongly different, respond in a similar way to amplitude/phase steering. To verify the newly obtained settings, we calculate the corresponding HR temperature distribution. This method was applied to several clinical situations and found to work very well. Deviations of this estimation method for the AMC-4 system were typically smaller than 0.2 degrees C in the volume of interest, which is accurate enough for treatment planning purposes.
机译:在局部热疗中,最优化技术对于获得涂药器的幅值/相位设置以实现最大的肿瘤加热而对正常组织没有毒性是很有价值的。我们实施了基于温度的优化技术,并在限制正常组织温度的情况下最大化了肿瘤温度,以防止出现热点。电场分布是优化方法的主要输入。由于计算机的限制,对于电场计算,我们仅限于1 x 1 x 1 cm(3)的分辨率,对于可靠的治疗计划而言,分辨率太低。一个主要问题是,低分辨率(LR)的热点并不总是与高分辨率(HR)的热点相对应,反之亦然。因此,基于HR温度的优化对于适当的治疗计划是必要的,而LR策略无法获得令人满意的结果。为了从LR场计算中获得HR功率密度(PD)分布,UMC Utrecht早先开发了一种准静态缩放技术。但是,准静态缩放不会保留相位信息,因此无法提供直接HR优化所需的HR E场信息。我们将准静态缩放与优化方法结合起来,以获得基于毫米分辨率的基于温度的优化策略。首先,我们执行了LR(1厘米)优化,并使用获得的设置来计算HR(2毫米)PD和相应的HR温度分布。接下来,我们根据先前的计算结果使用新的HR温度分布的估算值进行了HR优化。此估计基于以下假设:HR和LR温度分布虽然存在很大差异,但对幅度/相位控制的响应方式相似。为了验证新获得的设置,我们计算了相应的HR温度分布。该方法已应用于多种临床情况,并发现效果很好。对于AMC-4系统,此估计方法的偏差通常在目标体积内小于0.2摄氏度,这对于治疗计划目的而言足够准确。

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