Improved MRI temperature imaging using a subject-specific biophysical model

使用特定于受试者的生物物理模型改进 MRI 温度成像

基本信息

批准号：
8305993
负责人：
DENNIS L PARKER
金额：
$ 42.35万
依托单位：
UNIVERSITY OF UTAH
依托单位国家：
美国
项目类别：
财政年份：
2011
资助国家：
美国
起止时间：
2011-08-01 至 2015-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8305993
关键词：
Acoustics Algorithms Animal Model Blood flow Brain Computational Technique Deposition Development Devices Dose Drug Delivery Systems Drug or chemical Tissue Distribution Elements Equation Focused Ultrasound Therapy Goals Heating Hybrids Image Imaging Techniques In Vitro Magnetic Resonance Magnetic Resonance Imaging Maps Measurement Measures Meat Methods Modeling Monitor Operative Surgical Procedures Palliative Care Perfusion Physiological Procedures Property Relative (related person)Resolution Response Elements Safety Sampling Speed Spottings Staging Structure System Techniques Technology Temperature Testing Time Tissues Ultrasonography Uterine Fibroids Work base clinical application clinical practice cranium improved in vivo infancy innovation interest novel predictive modeling reconstruction research study sensor success treatment strategy

项目摘要

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.

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以及视场来改进用于高强度聚焦超声（HIFU）热处理的磁共振温度成像（MRTI）技术（视场）能力。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，从而加速该技术进入临床实践。为了实现这一目标，我们建议开发一种全新的 MRTI 方法，该方法通过在每个时间范围内对测量空间（k 空间）进行二次采样来提高速度，并使用结合了不均匀组织生物热和声学特性的特定于受试者的生物物理模型来动态（在实时）预测缺失的测量值。这种方法的独特之处在于它用额外的特定于受试者的生物物理信息补充了 3D MRTI。我们将此方法称为模型预测滤波 (MPF)，因为它与其他线性预测滤波器（例如卡尔曼滤波器）类似。这种新的 MPF 技术将实现对足够大的区域的温度分布所需的准确、精确和快速的高分辨率测量，从而有效地实时监测和控制治疗。这项工作将分三个阶段开发改进温度测量的方法：1）首先将开发时间约束重建（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 温度与组织分割和光束建模相结合，将用于确定 3D 受试者特定组织的声学和热学特性。 3) 组织的声学和热学特性将被纳入 MPF 技术中，以实时获得整个声穿透体积内所需的温度图像。然后，这些方法将在动物模型中进行体内测试，并在经颅 MRgHIFU 系统中进行体外和离体测试。经颅脑 MRgHIFU 是一项重要的应用，需要开发创新的治疗策略，并且肯定需要在整个声穿透体积内进行快速、准确、高空间分辨率的温度测量。这些技术非常新颖，一旦成功将促进实验加速经颅脑 MRgHIFU 以及其他潜在的新 MRgHIFU 应用的接受。