CENC - Diffusion Tensor Imaging Standardization using Novel MR Diffusion Phantoms

CENC - 使用新型 MR 扩散模型进行扩散张量成像标准化

基本信息

批准号：
9032373
负责人：
Elisabeth A Wilde
金额：
--
依托单位：
MICHAEL E DEBAKEY VA MEDICAL CENTER
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-01-01 至 2017-09-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9032373
关键词：
Axon Brain Caliber Calibration Chronic Computer software Data Data Analyses Data Collection Data Set Development Diffusion Diffusion Magnetic Resonance Imaging Disease Electron Microscope Equipment Etiology Evaluation Extravasation Fiber Goals Head Hospitals Hour Human Image Imaging Phantoms Imaging Techniques Individual Institutes Knowledge Magnetic Resonance Imaging Manufacturer Name Measurement Measures Meta-Analysis Methods Modification Molecular Motion Nervous System Trauma Neurocognitive Deficit Optics Paper Pathway interactions Patients Pattern Procedures Process Protocols documentation Psychology Publications Recommendation Reporting Reproducibility Research Infrastructure Research Personnel Running Scanning Site Software Tools Source Specific qualifier value Standardization Structure System Techniques Technology Textiles Time Traumatic Brain Injury Tube Universities Veterans Water Weight Writing base computerized data processing data acquisition design design and construction experience imaging software imaging system novel programs rat Ran 2 protein volunteer white matter white matter injury

项目摘要

DESCRIPTION (provided by applicant): Project Background/Rationale: Diffusion imaging has gained importance in the past decade as a valuable means of depicting white matter injury caused by various disease processes. Diffusion imaging holds particular promise for evaluation of individuals who have experienced traumatic brain injury (TBI) because damage to white matter pathways is considered to be an important component in the causation of the many types of neurocognitive impairment that can result from TBI. Diffusion imaging can be performed using a number of different imaging techniques, and no single technique is universally recognized as the single best method. As a result, development of large pools of data is hampered by the fact that combining imaging studies obtained by multiple techniques results in an inhomogeneous data set that is difficult to analyze. Analytical difficulties arise even in data obtained from two scanners made by the same manufacturer and having the same field strength if different image acquisition protocols, imaging software packages and imaging equipment (e.g., head coils) are used. Project Objectives: If diffusion imaging is to be developed as a means to evaluate Veterans with suspected TBI, a uniform type of image acquisition is needed across the different types of imaging systems available within the VA hospital network. To construct such a system, a means is needed to establish exactly how one scanner differs from another (or from itself over the course of time). Then, modification of imaging sequences and, as needed, hardware and software components, can be performed to allow more uniform data acquisition across scanners. In this proposal, we will use diffusion imaging phantoms to evaluate differences between scanners with the goal of providing acquisition techniques that will data to be compared across different patient groups and combined into large data collections. Our objective is to provide a means for the many different scanners across the

描述（由申请人提供）：项目背景/理由：在过去十年中，扩散成像已成为描述由各种疾病过程造成的白质损伤的宝贵手段。扩散成像对评估遭受创伤性脑损伤（TBI）的个体的评估具有特殊的希望，因为对白质途径的损害被认为是TBI造成多种类型的神经认知障碍的重要组成部分。可以使用多种不同的成像技术进行扩散成像，并且没有普遍认为单一技术是单一的最佳方法。结果，通过多种技术获得的成像研究导致难以分析的不均匀数据集，大量数据的发展受到了阻碍。即使使用不同的图像采集协议，成像软件包和成像设备（例如，头部线圈），也会从同一制造商制造的两个扫描仪获得的数据中产生分析困难。项目目标：如果要开发差异成像作为评估具有可疑TBI的退伍军人的一种手段，则在VA医院网络中可用的不同类型的成像系统中，需要进行统一的图像采集类型。要构建这样的系统，需要一种手段来确定一个扫描仪与另一个扫描仪的不同（或者在随着时间的流逝中）。然后，可以对成像序列进行修改，并根据需要进行硬件和软件组件，以允许在扫描仪之间进行更多均匀的数据采集。在此提案中，我们将使用差异成像幻象来评估扫描仪之间的差异，目的是提供获取技术，这些技术将在不同的患者群体中进行比较并合并为大数据收集。我们的目的是为跨越许多不同的扫描仪提供一种手段