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首页> 外文期刊>IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology >Fast Optimization of Temperature Focusing in Hyperthermia Treatment of Sub-Superficial Tumors
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Fast Optimization of Temperature Focusing in Hyperthermia Treatment of Sub-Superficial Tumors

机译:高温治疗亚浅表肿瘤的温度快速优化

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Microwave hyperthermia aims at selectively heating cancer cells to a supra-physiological temperature. For non-superficial tumors, this can be achieved by means of an antenna array equipped with a proper cooling system (the water bolus) to avoid overheating of the skin. In patient-specific treatment planning, antenna feedings are optimized to maximize the specific absorption rate (SAR) inside the tumor, or to directly maximize the temperature there, involving a higher numerical cost. We present here a method to effect a low-complexity temperature-based planning. It arises from recognizing that SAR and temperature have shifted peaks due to thermal boundary conditions at the water bolus and for physiological effects like air flow in respiratory ducts. In our method, temperature focusing on the tumor is achieved via a SAR-based optimization of the antenna excitations, but optimizing its target to account for the cooling effects. The temperature optimization process is turned into finding a SAR peak position that maximizes the chosen temperature objective function. Application of this method to the 3D head and neck region provides a temperature coverage that is consistently better than that obtained with SAR-optimization alone, also considering uncertainties in thermal parameters. This improvement is obtained by solving the bioheat equation a reduced number of times, avoiding its inclusion in a global optimization process.
机译:微波热疗旨在选择性地将癌细胞加热到Supra生理温度。对于非浅表肿瘤,这可以通过配备有适当的冷却系统(水推注)的天线阵列来实现,以避免皮肤过热。在特定于患者的治疗计划中,天线馈送经过优化,以最大化肿瘤内部的特定吸收率(SAR),或者直接最大化那里的温度,涉及更高的数值成本。我们在此提供一种实现基于低复杂度的温度的方法的方法。它旨在认识到SAR和温度由于水推注的热边界条件和用于呼吸管道中的空气流动的生理效果而导致的峰值。在我们的方法中,通过基于天线激发的基于SAR的优化来实现聚焦肿瘤的温度,但优化其目标以考虑冷却效果。温度优化过程变成了找到最大化所选择的温度目标函数的SAR峰值位置。这种方法在3D头部和颈部区域的应用提供了比单独用SAR优化获得的温度覆盖,同时考虑热参数中的不确定性。通过求解生物发热方程减少次数,避免其在全局优化过程中的夹杂物来获得这种改进。

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