Improved MRI temperature imaging using a subject-specific biophysical model

描述（由申请人提供）：该项目的目标是通过显着扩展其当前的空间和时间分辨率和视野（FOV）能力，改进用于高强度聚焦超声（HIFU）热治疗的磁共振温度成像（MRTI）技术。这些改进将克服经颅MRI引导聚焦超声治疗的速度、分辨率和视场障碍，从而加速该技术在临床实践中的应用。为了实现这一目标，我们建议开发一种全新的MRTI方法，通过在每个时间框架内对测量空间（k空间）进行子采样来提高速度，并使用包含非均匀组织生物热和声学特性的主题特定生物物理模型来动态（实时）预测缺失的测量。这种方法的独特之处在于它补充了3D MRTI额外的主体特异性生物物理信息。我们将这种方法称为模型预测滤波（MPF），因为它类似于其他线性预测滤波器，如卡尔曼滤波器。这种新的MPF技术将在足够大的区域内实现所需的精确、精确和快速的高分辨率温度分布测量，从而有效地实时监测和控制处理。这项工作将分三个阶段发展改进温度测量的方法：1)首先，将开发一种时间约束重建（TCR）技术，以获得对感兴趣体积具有高空间和时间分辨率的回顾性MRTI测量。2) TCR温度结合组织分割和光束建模将用于确定三维特定受试者组织的声学和热性能。3)组织声学和热特性将被纳入MPF技术，以实时获得整个失声体积上所需的温度图像。然后，这些方法将在动物模型中进行体内测试，并在经颅MRgHIFU系统中进行体外和体外测试。经颅脑磁共振成像是一项重要的应用，它需要开发创新的治疗策略，并且肯定需要在整个非超声体积上进行快速、准确、高空间分辨率的温度测量。这些技术是非常新颖的，一旦成功，将促进实验，加速接受经颅脑MRgHIFU以及潜在的其他新的MRgHIFU应用。

DESCRIPTION (provided by applicant): The goal of this project is to improve magnetic resonance temperature imaging (MRTI) techniques to be used in high intensity focused ultrasound (HIFU) thermal treatments by significantly expanding their current spatial and temporal resolution and field of view (FOV) capabilities. These improvements will overcome the speed, resolution, and FOV roadblocks in transcranial MRI guided focused ultrasound therapy and thereby accelerate the acceptance of this technique into clinical practice. To realize this goal we propose to develop a completely new MRTI approach that increases speed by subsampling the measurement space (k-space) in each time frame and that uses a subject-specific biophysical model incorporating inhomogeneous tissue biothermal and acoustic properties to dynamically (in real-time) predict the missing measurements. The uniqueness of this approach is that it supplements 3D MRTI with additional subject-specific biophysical information. We refer to this method as model predictive filtering (MPF) because it is similar to other linear predictive filters, such as the Kalman filter. This new MPF technique will achieve the required accurate, precise, and rapid high-resolution measurements of temperature distributions over regions sufficiently large to effectively monitor and control treatments in real-time. The work will develop methods to improve temperature measurements in three stages: 1) First a temporally-constrained reconstruction (TCR) technique will be developed to obtain retrospective MRTI measurements with high spatial and temporal resolution over the volume of interest. 2) The TCR temperatures combined with tissue segmentation and beam modeling will be used to determine 3D subject- specific tissue acoustic and thermal properties. 3) The tissue acoustic and thermal properties will be incorporated into the MPF technique to obtain the desired temperature images over the full insonified volume in real-time. These methods will then be tested in vivo in animal models and in vitro and ex vivo in a transcranial MRgHIFU system. Transcranial brain MRgHIFU is an important application that requires the development of innovative treatment strategies and will definitely require rapid, accurate, high spatial resolution temperature measurements over the entire insonified volume. These techniques are highly novel, and upon success will facilitate experiments to accelerate the acceptance of transcranial brain MRgHIFU as well as potentially other new MRgHIFU applications.