IMPROVED DOSIMETRY--QUANTITATIVE TEMPERATURE, ULTRASOUND & GEOMETRIC MODELS

本项目的目标是集成定量热模拟 临床热疗工具，以改善治疗计划，交付， 和评价。 我们特别关注的应用和验证 这些模型，结合广泛的温度测量和灌注， 测量，前列腺疾病。 这使我们能够验证热 在一个一致的，可重复的，相对容易的解剖模型， 可以很好地测量温度、灌注和SAR的部位。 在目前的资助期内， 开发和评估热模型和算法 用于预测和重建温度场计算。 我们 开发了基元法（BEM），一种快速，可调的技术， 临床环境中的温度场计算。 初始 动物（猪）边界元热模型的实验验证 实验和选定的患者治疗会话表明，BEM， 稀疏测量的SAR和灌注，能够预测温度， RMS差值为0.9 ℃。 更新是临床导向的;转移到诊所， 将这些定量的热传导集成到患者治疗系统中 建模技术 边界元法和相关的重建， 可视化模块将沿着临床 改进包括优化临床使用和定制 对于程序项目中感兴趣的特定解剖部位。 对BEM的其他临床驱动的改进包括实时 热重构算法在控制中的应用 治疗的实施。 为了支持和增强这些模型，我们还 为热疗诊所提供必要的密集温度， 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和优化的合理基础 患者几何和解剖数据。 同样重要的是，这将使 通过治疗重建评价治疗效果 温度场来自离散测量点收集的数据， 计算整个肿瘤上的体积热剂量分布 量，以及与结果的相关性。 这将使更有效和 热疗治疗价值的定量评估。

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.