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MRI Parallel Excitation for Neuroimaging Applications

MRI Parallel Excitation for Neuroimaging Applications
用于神经影像应用的 MRI 并行激励
批准号:
7758259
负责人:
DOUGLAS C NOLL
金额:
$60.16万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-01-01 至 2012-12-31

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项目成果

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中文摘要
翻译
描述(由申请人提供):建议建立生物工程研究伙伴关系(PAR-06-459),用于开发并行激发技术,以改进额叶下部皮质的功能磁共振成像(FMRI)研究。该项目的动机是需要消除由于脑组织和鼻窦中的空气之间的磁化率差异而导致的大信号空洞和图像失真。这些伪影在功能磁共振成像中普遍存在,特别是对于许多下部大脑结构,包括眶前皮质(OFC)、下、内侧颞叶和脑干结构。大脑的这些部分与神经退行性疾病、癫痫、精神疾病和酒精/物质滥用障碍有关。许多当前用于消除这些失真的技术在检测激活的时间分辨率或灵敏度方面具有很大的成本。我们团队已经开创了减少这些伪影的方法,包括多维选择性激发,这是一种很有前途的技术,但目前在校正程度和激发脉冲的长持续时间方面受到限制。并行激发是一种新技术,通过使用多个独立的激发通道,可以在MRI中激发特定模式或更均匀的模式时具有更大的灵活性。对于多维激发模式,例如用于消除fMRI中下脑区信号丢失伪影的那些模式,并行激发应该允许更短的脉冲并提供更完整的校正。该项目是一个独特的多学科项目,它涉及到并行激励脉冲设计、并行激励硬件、系统集成以及在患者研究中的应用等方面的进展。该项目将由一个多学科调查小组领导:该项目的首席调查人员是道格拉斯·诺尔(PI;系统集成和软件,验证)、杰弗里·费斯勒(脉冲优化)和斯蒂芬·泰勒(患者研究);他们都来自大学。密歇根大学的史蒂文·赖特和德克萨斯A&M大学的史蒂文·赖特(硬件、系统集成)。该项目为并行激励脉冲设计提供了新的优化策略,为驱动并行发射阵列提供了独特的电流源技术,并对OFC的功能进行了重要的科学研究。总之,这些方法为功能磁共振带来了有价值的新方法,能够以与其他结构相同的灵敏度探测下部大脑结构,这将有助于对各种神经精神疾病的研究。本文开发的并行激励技术也将促进MRI技术的发展,以校正强磁场下的激励不均匀性,以及多维激励在MRI中的许多其他应用。
英文摘要
DESCRIPTION (provided by applicant): A Bioengineering Research Partnership (PAR-06-459) is proposed for the development of parallel excitation technology to improve functional magnetic resonance imaging (fMRI) studies in the inferior frontal cortex. This project is motivated by the need to eliminate large signal voids and image distortions caused by magnetic susceptibility differences between brain tissue and air in the nasal sinuses. These artifacts are ubiquitous in fMRI, especially for many inferior brain structures including the orbitofrontal cortex (OFC), inferior and medial temporal lobes, and brain stem structures. These parts of the brain have been implicated in neurodegenerative disorders, epilepsy, psychiatric conditions and alcohol/substance abuse disorders. Many current techniques to remove these distortions have a large cost in terms of temporal resolution or sensitivity for detection of activation. Our group has pioneered methods for reducing these artifacts, including multidimensional selective excitation, a technique that is promising, but is currently limited in the degree of correction and by the long duration of the excitation pulses. Parallel excitation is a new technology that will allow for greater flexibility in exciting specific patterns or more uniform patterns in MRI through the use of multiple independent excitation channels. For multidimensional excitation patterns, such as those used to eliminate the signal-loss artifacts in inferior brain regions in fMRI, parallel excitation should allow shorter pulses and offer more complete correction. This project is uniquely multidisciplinary in that it involves advances in parallel excitation pulse design, parallel excitation hardware, system integration, and application to studies of patients. This project will be lead by a multidisciplinary group of investigators: the Lead Investigators for this project are Douglas Noll (PI; System Integration and Software, Validation), Jeffrey Fessler (Pulse Optimization), and Stephen Taylor (Patient Studies); all from Univ. of Michigan and Steven Wright (Co-PI; Hardware, System Integration) from Texas A&M University. This project offers novel optimization strategies to parallel excitation pulse design, unique current source technologies for driving the parallel transmit array, and important scientific investigation into the functioning of the OFC. Together, these approaches lead to valuable new methods for functional MRI that are capable of probing inferior brain structures with sensitivity equal to other structures, which will aid in the study of a variety of neuropsychiatric disorders. The parallel excitation technology developed here will also advance the general state of MRI technology for correction of excitation inhomogeneity at high magnetic fields and for many other application of multidimensional excitation in MRI.
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Core G: Neuroimaging Core
Core G: Neuroimaging Core
Core G: Neuroimaging Core
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国内基金
海外基金
湍流和化学交互作用对H2-Air-H2O微混燃烧中NO生成的影响研究
  • 批准号:
    51976048
  • 项目类别:
    面上项目
  • 资助金额:
    61.0万元
  • 批准年份:
    2019
  • 负责人:
    邱朋华
  • 依托单位: