A fundamentally improved MRI methodology applied to fMRI

从根本上改进的 MRI 方法应用于 fMRI

• 批准号: 6953966
• 负责人: DONALD B TWIEG
• 金额: $ 42.4万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6953966
• 关键词: Macaca mulatta; bioimaging /biomedical imaging; computer program /software; computer system design /evaluation; functional magnetic resonance imaging; magnetic resonance imaging; method development; phantom model; technology /technique development

DESCRIPTION (provided by applicant): Contemporary magnetic resonance imaging (MRI) methodology involves an implicit assumption, which is computationally convenient but physically inaccurate. This R21/R33 project seeks to develop a novel MRI methodology which abandons this assumption, thereby avoiding defects which commonly afflict rapid single-shot MR images. Because it interprets MRI raw data more accurately, the new methodology promises also to permit fundamentally more efficient, accurate and robust measurements to be made in several general types of MRI applications, such as diffusion imaging, measurement of tissue relaxation parameters, flow and motion imaging, and blood perfusion imaging. A strength of the general approach is that it measures tissue parameters more directly than do established approaches, which infer parameters from multiple separately acquired images. In an initial investigation and development of this methodology (termed PARSE), this project will implement a single-shot PARSE method, SS-PARSE, which is especially well-suited to functional MRI (fMRI) of the brain, with several theoretical advantages over existing methods used in fMRI. These theoretical advantages in accuracy, acquisition speed, and robustness, are substantiated in initial simulation trials. The immediate goal of the R21 project will be to experimentally verify these expected performance advantages of the SS-PARSE technique in well-controlled imaging studies using phantom objects in a 4.7T vertical-bore primate MR imaging system. A shortcoming of the methodology is that it requires much longer computation times than conventional MRI approaches. The R21 project will seek to develop much faster computational algorithms, and will determine the prospects for reducing computational time to roughly that of typical conventional fMRI studies. If these two major performance milestones have been met, the R33 project will commence, testing and characterizing the new methodology in functional brain imaging studies of primates. Additionally, the R33 project will include development of more sophisticated versions of the SS-PARSE method for high-resolution functional imaging. The project promises to introduce a new methodology, which may have substantial fundamental performance benefits over a broad range of clinical MRI applications.

描述（由申请人提供）： 当代磁共振成像（MRI）方法涉及一个隐式假设，该假设在计算上很方便但物理不准确。 这个R21/R33项目试图开发一种新型的MRI方法，该方法抛弃了这一假设，从而避免了通常会折磨快速单次单光MR图像的缺陷。 由于它更准确地解释了MRI原始数据，因此新方法也有望在几种一般类型的MRI应用中进行从根本上更有效，准确和可靠的测量，例如扩散成像，组织松弛参数的测量，流动参数，流动和运动成像以及血液灌注成像。 一般方法的强度是，它比已建立的方法更直接地测量组织参数，这些方法从多个单独获取的图像中推断出参数。 在此方法的初步研究和开发中，该项目将实施一种单一解析方法SS-Parse，该方法特别适合大脑的功能性MRI（fMRI），其在FMRI中使用的现有方法具有多种理论优势。 在初始仿真试验中，可以证实这些准确性，获取速度和鲁棒性的理论优势。 R21项目的直接目标是实验验证SS-PARSE技术在良好控制的成像研究中使用幻影对象在4.7 t垂直孔的灵长类动物MR成像系统中的这些预期性能优势。 该方法的缺点是，它需要比常规MRI方法更长的计算时间。 R21项目将寻求开发更快的计算算法，并将确定减少计算时间的前景，以大致进行典型的常规fMRI研究。 如果达到了这两个主要的性能里程碑，R33项目将开始，测试和表征灵长类动物功能性脑成像研究中的新方法。 此外，R33项目将包括开发用于高分辨率功能成像的SS-Parse方法的更复杂的版本。 该项目有望引入一种新的方法，该方法可能在广泛的临床MRI应用中具有很大的基本性能优势。