IMPROVED DOSIMETRY--QUANTITATIVE TEMPERATURE, ULTRASOUND & GEOMETRIC MODELS

该项目的目标是集成定量热模型 将工具融入临床热疗，以改进治疗计划、交付、 和评估。我们特别关注的是应用和验证 这些模型结合广泛的体温测量和灌流 测量，到前列腺癌。这使我们能够验证热 模型是一致的、可重现的、相对可访问的解剖结构 可以很好地测量温度、灌注量和SAR的位置。 在目前的赠款期间，努力在技术方面取得了很大进展 面向；热学模型和算法的发展和评价 用于预测和重建温度场计算。我们 开发了基本单元法(BEM)，这是一种快速、可调的技术，用于 临床环境下的温度场计算。首字母 边界元热模型在动物(猪)体内的实验验证 实验和选定的患者治疗阶段表明，BEM，与 稀疏测量的SAR和血流灌注，能够预测温度 均方根相差0.9摄氏度。 更新是以临床为导向的；转到临床和 将这些定量热能集成到患者治疗系统中 建模技术。边界元及相关重建和 可视化模块将与临床模块一起传输到DFCI 改进，包括针对临床使用和定制进行优化 对于计划项目中感兴趣的特定解剖位置。 其他临床驱动的边界元改进包括实时 热重构算法在控制中的应用 提供治疗的机会。为了支持和增强这些模型，我们还 为热疗诊所提供必要的稠密温度和 血流灌注测量能力。 这些建模和分析功能将用于建立 基于个体的治疗计划与优化的合理依据 患者的几何和解剖数据。同样重要的是，这将允许 重建法对治疗效果的评价 来自在离散测量地点收集的数据的温度场， 全肿瘤体积热剂量分布的计算 体积，以及与结果的相关性。这将使更有效和 量化评估热疗的治疗价值。

The objective of this project is to integrate quantitative thermal modeling tools into clinical hyperthermia to improve treatment planning, delivery, and evaluation. We focus particularly on the application and validation of these models, in combination with extensive thermometry and perfusion measurements, to prostate disease. This allows us to validate thermal models ina a consistent, reproducible, and relatively accessible anatomic site that can be well instrumented for temperature, perfusion and SAR. In the current grant period, efforts have been strongly technology oriented; the development and evaluation of thermal models and algorithms for predictive and reconstructive temperature field calculations. We developed the Basis Element Method (BEM), a rapid, tunable technique for temperature field calculations in the clinical setting. Initial experimental validation of the BEM thermal model in animal (pig) experiments and selected patient treatment sessions show that the BEM, with sparsely measured SAR and perfusion, is able to predict temperatures with RMS differences of 0.9 degree C. The renewal is clinically oriented; to transfer to the clinic and integrate into the patient treatment system these quantitative thermal modeling techniques. The BEM and associated reconstruction and visualization modules will be transferred to the DFCI, along with clinical refinements that include optimization for clinical use and customization for the specific anatomic sites of interest in the Program Project. Additional clinically driven refinements to the BEM include the real-time application of the thermal reconstruction algorithm for use in the control of treatment delivery. To support and enhance these models, we also provide the hyperthermia clinic with the necessary dense temperature and perfusion measurement capability. These modeling and analysis capabilities will be used to establish a rational basis for therapy planning and optimization based on individual patient geometric and anatomic data. Equally important, this will allow the evaluation of treatment efficacy by reconstruction of the treatment temperature field from data gathered at discrete measurement sites, calculation of volumetric thermal dose distributions over the entire tumor volume, and correlation with outcome. This will enable more effective and quantitative assessment of the therapeutic value of hyperthermia.