DIFFUSION IMAGING ?MR NEUROIMAGING

弥散成像？MR 神经成像

• 批准号: 7955357
• 负责人: ROLAND BAMMER
• 金额: $ 3.61万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7955357
• 关键词: Cognitive; Computer Retrieval of Information on Scientific Projects Database; Development; Diffusion; Diffusion Magnetic Resonance Imaging; Diffusion weighted imaging; Funding; Goals; Grant; Image; Institution; Investigation; Magnetic Resonance Imaging; Measures; Methodology; Methods; Motor; Patients; Performance; Process; Protocols documentation; Recovery; Research; Research Personnel; Resolution; Resources; Scanning; Source; Stroke; Technology; Translating; United States National Institutes of Health; Weight; field study; improved; neuroimaging; white matter

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The goal of this research continues to refine and improve the methodology of diffusion tensor imaging (DTI) at very high fields (3T and 7T) for the investigators and collaborators on the P41 RR09784 "Center for Advanced MR Technology at Stanford" effort. Preliminary studies from a variety of studies suggest that DTI may predict the cognitive and motor performances of a patient from scans requiring several minutes. Diffusion is measured along at least six non-collinear directions. For each gradient direction, typically four images were acquired and averaged. Two images with no diffusion weighting (b = 0s/mm2) are acquired and a set of Inversion Recovery (IR) images for CSF nulling are acquired with b = 0s/mm2; these images were used to unwarp the diffusion weighted images, which resulted in a more robust unwarping than using the non-IR b=0 images. The development of SENSE and more robust parallel imaging sequences and post-processing methods has accelerated the use of high fields for diffusion studies. Issues regarding the opimal protocol and set of sequence parameters needed for various diffusion studies are under investigation, which includes more rapid protocols for the assessment of stroke and more high resolution protocols for diffusion tensor imaging of white matter tracts. The effort is being translated from 3T to newer field field studies at 7T.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 这项研究的目的继续改善并改善了非常高的领域（3T和7T）的扩散张量成像（DTI）的方法，用于P41 RRRRRRRRR09784“斯坦福大学高级MR Technology中心”的研究人员和合作者。来自各种研究的初步研究表明，DTI可能会预测患者的认知和运动表现，从需要几分钟的扫描中。扩散沿着至少六个非共线方向测量。对于每个梯度方向，通常获取四个图像并平均。获取两个没有扩散加权的图像（B = 0S/MM2），并使用B = 0S/MM2获取CSF nulling的一组反转恢复（IR）图像；这些图像被用来张开扩散加权图像，这与使用非IR B = 0图像相比导致更健壮的不毛刺。 感官和更健壮的并行成像序列和后处理方法的发展加速了高场用于扩散研究。有关各种扩散研究所需的正式方案和序列参数集的问题正在研究中，其中包括用于评估中风和更高分辨率方案的更快方案，用于对白质区域的扩散张量成像。这项工作正在从3T转换为7T的新现场研究。