Elevating the temperature of cancerous cells is known to increase their susceptibility to subsequent radiation or chemotherapy treatments, and in the case in which a tumor exists as a well-defined region, higher intensity heat sources may be used to ablate the tissue. These facts are the basis for hyperthermia based cancer treatments. Of the many available modalities for delivering the heat source, the application of a laser heat source under the guidance of real-time treatment data has the potential to provide unprecedented control over the outcome of the treatment process [7, 18]. The goals of this work are to provide a precise mathematical framework for the real-time finite element solution of the problems of calibration, optimal heat source control, and goal-oriented error estimation applied to the equations of bioheat transfer and demonstrate that current finite element technology, parallel computer architecture, data transfer infrastructure, and thermal imaging modalities are capable of inducing a precise computer controlled temperature field within the biological domain.

中文翻译：

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用于癌症激光治疗的动态数据驱动有限元模型

已知升高癌细胞的温度会增加它们对后续放射或化学疗法的敏感性，并且在肿瘤作为明确定义的区域存在的情况下，可以使用更高强度的热源来消融组织。这些事实是基于热疗的癌症治疗的基础。在提供热源的许多可用方式中，在实时治疗数据的指导下应用激光热源有可能对治疗过程的结果提供前所未有的控制 [7, 18]。这项工作的目标是为校准问题的实时有限元解决方案提供精确的数学框架，优化热源控制，