Control System for MRI Monitored Thermal Therapies

描述（来自申请人摘要的逐字）：我们提出开发， 实施并验证计算机化控制系统的使用， 热疗法（间质激光热疗法和冷冻疗法）， 连接到我们的0.5T开放配置介入MR扫描仪上。的 系统将利用3D MRI信息，提供听觉和视觉先验 警告信号和治疗终点处的报警信号。我们的目标是直接 满足癌症治疗临床对精确三维时空的需求 监测和控制异质组织中的肿瘤热疗法， 目前超出了人类的能力，以保证病人的安全，同时优化 治疗效果我们提出的系统将提供可识别的先验 在到达终点之前发出警告信号， 当热治疗终点发生时， 水平或治疗边界符合或超过预定义的3D边界或安全性 限制.具体而言，我们的项目包括：（1）整合专门的 将计算机硬件配置到我们的介入MR扫描仪电子设备中; (2)三维监测软件包和用户界面的开发 以及基于医生指定的热消融治疗的控制 治疗体积边界和暴露限值;（3）初始离线系统测试 使用凝胶体模和治疗后的人类患者MRI数据;以及（4）完全 肿瘤热治疗期间的在线实时验证测试 介入MR扫描仪。软件将被开发或集成到 提供最先进的监测和预测能力的系统 不断发展的治疗边界和热暴露。在软件模块一中， 将开发基于三维光流场的监控系统， 之前在我们医院被证明是临床上有用的。以软件 模块二，将创建一个平行的预测途径， 快速三维数据分割和热传导建模软件。试验阶段 第一，离线（非实时）凝胶和“虚拟”患者测试将在 执行并获取控制病例数据。后来，在试验阶段二，实时 验证试验将在临床治疗病例中进行，以研究 系统结果的准确性、有用性和及时性， 选择用于实现的特定计算机硬件。

DESCRIPTION (Verbatim from Applicant's Abstract): We propose to develop, implement, and validate use of a computerized control system for MR-monitored thermal therapies (interstitial laser thermal therapy and cryotherapy) that is to be attached to our 0.5T open configuration interventional MR scanner. The system will utilize 3D MRI information, providing audible and visual prior warning signals and an alarm signal at the therapy endpoint. We aim to directly answer the cancer treatment clinical need for accurate 3D spatial-temporal monitoring and control of tumor thermal therapies in heterogeneous tissue, currently beyond human capability, to guarantee patient safety while optimizing therapy effectiveness. Our proposed system will provide recognizable prior warning signals before the endpoint is reached, and an alarm signal at the instance when the thermal therapy endpoint occurs, as the thermal exposure level or therapy boundary meets or exceeds pre-defined 3D boundaries or safety limits. Specifically, our project consists of: (1) the integration of specially configured computer hardware into our interventional MR scanner electronics; (2) the development of a software package and user-interface for 3D monitoring and control of a thermal ablation therapy based on a physician-specified therapy volume boundary and exposure limit; (3) initial off-line system testing using gel phantoms and posttreatment human patient MRI data; and, (4) fully on-line real-time validation testing during tumor thermal therapies on our interventional MR scanner. Software will be developed or integrated into the system to provide state-of-the-art capability for monitoring and predicting evolving therapy margins and thermal exposure. In Software Module One, a monitoring and control system will be developed based on 3D optical flow, previously demonstrated as clinically useful in our hospital. In Software Module Two, a parallel predictive pathway will be created combining existing fast 3D data segmentation and heat conduction modeling software. In Trial Phase One, off-line (not in real-time) gel and 'virtual' patient tests will be performed and control case data acquired. Later, in Trial Phase Two, real-time validation trials will take place during clinical therapy cases, to study the accuracy, usefulness and timeliness of the system results when executing on the specific computer hardware chosen for implementation.