TESLA MRI SCANNER: PEROXISOMAL DISORDERS, MULTIPLE SCLEROSIS
特斯拉 MRI 扫描仪:过氧化物酶体疾病、多发性硬化症
基本信息
- 批准号:7335118
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-04-01 至 2007-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This subproject is one of many research subprojects utilizing the resources provided by a Shared Instrumentation 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 grant, which is not necessarily the institution for the investigator. DESCRIPTION (provided by applicant): We propose to acquire a 16-channel broadband digital radio-frequency (RF) system upgrade for the 3 Tesla MRI system at the P.M. Kirby Research Center at the Kennedy Krieger Institute. This upgrade includes multi-element receiver coils for brain, head and neck, infant brain, and breast. Our 3 T scanner currently has only six RF channels, which are not sufficient to use these new multi-element receiver coils. No 16-channel 3 T scanner is presently available at our institutions. Investigators at the Kennedy Krieger Institute, Johns Hopkins University, and the University of Maryland presently have 15 NIH-funded projects and 1 NSF-funded project with several aims that will strongly benefit from the improved technical capabilities offered by this upgrade. These investigators presently use the 3 T system in the F.M. Kirby Research Center for structural and functional MRI, quantitative physiological MRI, MR spectroscopy (MRS) and spectroscopic imaging (MRSI), and diffusion tensor imaging (DTI). The proposed upgrade will provide the following specific benefits for current users: 1) Compared to the 6-channel system currently in use, the 16-element head coil increases 1H MR sensitivity at the cortex by at least 27%, and reduces the noise-amplification penalty for high-rate SENSE by 77%. These primary advantages can be used to: a) better detect small fMRI signal changes; b) increase spatial resolution; c) increase temporal resolution (yield more data points per time in dynamic studies); d) reduce scan times (shorten scans); e) reduce spatial distortions. 2) The 16-element neuro-vascular coil allows integrated head and neck exams (i.e., combined scanning of the cervical spine and brain in single acquisitions), providing significant time savings. 3) The 8-element knee coil ("infant head coil") increases 1H MR sensitivity in infant (0-2 years old) cortex by ca. 40% (compared to the adult head coil now used). 4) The 7-element breast coil will allow breast MR studies to move from 1.5 T to 3 T, approximately doubling SNR. Furthermore, the 7-element coil will yield roughly an additional 20% SNR increase compared with 4- element coils, such as that now used at 1.5 T. The increases in sensitivity yielded by these multi-element coils are highly significant. For instance, the 27% increase in cortical sensitivity from the 16-element head coil compares to an increase in field strength to about 4 T, and would permit at least a 38% reduction in acquisition time, crucial for the special populations of children (e.g., autism; ADHD) studied at Kennedy Krieger Institute. The 3 T 16-channel digital RF upgrade is essential for continued high-quality state-of-the-art research at our institutions and for the national facilities provided by our Research Resource.
该子项目是利用由NIH/NCRR资助的共享仪器赠款提供的资源的许多研究子项目之一。子项目和研究者(PI)可能从另一个NIH来源获得主要资金,因此可以在其他CRISP条目中表示。列出的机构是用于资助的,不一定是研究者的机构。描述(由申请人提供):我们建议为肯尼迪克里格研究所P.M. Kirby研究中心的3特斯拉MRI系统购买16通道宽带数字射频(RF)系统升级。此次升级包括用于大脑、头颈部、婴儿大脑和乳房的多元件接收线圈。我们的3 T扫描仪目前只有六个RF通道,不足以使用这些新的多元件接收线圈。我们的医疗机构目前没有16通道3 T扫描仪。 肯尼迪克里格研究所、约翰霍普金斯大学和马里兰州大学的研究人员目前有15个NIH资助的项目和1个NSF资助的项目,这些项目的几个目标将大大受益于这次升级所提供的改进的技术能力。这些研究者目前在F.M.中使用3 T系统。Kirby研究中心的结构和功能MRI、定量生理MRI、MR波谱(MRS)和波谱成像(MRSI)以及扩散张量成像(DTI)。 拟议的升级将为当前用户提供以下具体好处:1)与当前使用的6通道系统相比,16元件头部线圈将皮质处的1H MR灵敏度提高至少27%,并将高速率SENSE的噪声放大惩罚降低77%。这些主要优点可用于:a)更好地检测小的fMRI信号变化; B)提高空间分辨率; c)提高时间分辨率(在动态研究中每次产生更多的数据点); d)减少扫描时间(缩短扫描); e)减少空间失真。 2)16元件神经血管线圈允许集成的头部和颈部检查(即,在单次采集中对颈椎和大脑进行组合扫描),可显著节省时间。 3)8元件膝盖线圈(“婴儿头部线圈”)将婴儿(0-2岁)皮质中的1H MR灵敏度增加约1.5倍。40%(与现在使用的成人头部线圈相比)。 4)7元件乳腺线圈将允许乳腺MR研究从1.5 T移动到3 T,大约使SNR加倍。此外,与4元件线圈相比,7元件线圈将产生大约额外20%的SNR增加,例如现在在1.5 T下使用的线圈。 由这些多元件线圈产生的灵敏度的增加是非常显著的。例如,16元件头部线圈的皮质灵敏度增加27%,而场强增加到约4 T,并且将允许采集时间减少至少38%,这对于特殊儿童群体至关重要(例如,自闭症;多动症)在肯尼迪克里格研究所研究。3 T 16通道数字RF升级对于我们的机构和我们的研究资源提供的国家设施的持续高质量的最先进的研究至关重要。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
JAMES J. PEKAR其他文献
JAMES J. PEKAR的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('JAMES J. PEKAR', 18)}}的其他基金
7/24 Healthy Brain and Child Development National Consortium
7/24 健康大脑和儿童发展国家联盟
- 批准号:
10494267 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
7/24 Healthy Brain and Child Development National Consortium
7/24 健康大脑和儿童发展国家联盟
- 批准号:
10665811 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
7/24 Healthy Brain and Child Development National Consortium
7/24 健康大脑和儿童发展国家联盟
- 批准号:
10750125 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Gastric Electrical Slow Wave Functional MRI of the Human Brain
人脑胃电慢波功能 MRI
- 批准号:
10039901 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
TESLA MRI SCANNER: SCHIZOPHRENIA, ADHD, BRAIN TUMOR, RETT SYNDROME
特斯拉 MRI 扫描仪:精神分裂症、多动症、脑肿瘤、RETT 综合征
- 批准号:
7335116 - 财政年份:2006
- 资助金额:
$ 5万 - 项目类别:
MRI SCANNER: AUTISM, MENTAL RETARDATION, MEMORY, BRAIN RADIATION IN CHILDREN
MRI 扫描仪:儿童自闭症、智力低下、记忆力、脑辐射
- 批准号:
7335117 - 财政年份:2006
- 资助金额:
$ 5万 - 项目类别:
相似国自然基金
转录因子fork head对甜菜夜蛾几丁质合成的调控作用研究
- 批准号:31000880
- 批准年份:2010
- 资助金额:21.0 万元
- 项目类别:青年科学基金项目
磁力显微镜对纳米尺度磁畴结构的定量研究
- 批准号:51071088
- 批准年份:2010
- 资助金额:38.0 万元
- 项目类别:面上项目
高压闸门水封的非线性计算理论与实验研究
- 批准号:50679059
- 批准年份:2006
- 资助金额:28.0 万元
- 项目类别:面上项目
相似海外基金
I-Corps: Translation Potential of Head Impact Monitoring with Embedded Sensor Technology in Sports Helmets
I-Corps:运动头盔中嵌入式传感器技术的头部碰撞监测的转化潜力
- 批准号:
2416207 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
"Mimicking Human Head Sound Responses": Towards an Anatomically Accurate Head Prototype for Bone Conduction Crosstalk Cancellation Analysis with Humans
“模仿人类头部声音反应”:构建解剖学上准确的头部原型,用于人类骨传导串扰消除分析
- 批准号:
24K20786 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Assembling the building blocks in the blueprint of the embryonic head
在胚胎头部的蓝图中组装积木
- 批准号:
DP240101571 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Discovery Projects
Developmental mechanisms specifying vagal innervation of organ targets
指定器官目标迷走神经支配的发育机制
- 批准号:
10752553 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Greatwall in replication stress/DNA damage responses and oral cancer resistance
长城在复制应激/DNA损伤反应和口腔癌抵抗中的作用
- 批准号:
10991546 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Causes and Downstream Effects of 14-3-3 Phosphorylation in Synucleinopathies
突触核蛋白病中 14-3-3 磷酸化的原因和下游影响
- 批准号:
10606132 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Development of a novel educational system for oral and maxillofacial surgery using virtual reality technology
利用虚拟现实技术开发新型口腔颌面外科教育系统
- 批准号:
23K16170 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Spatial Calibration of Head-Mounted Displays Based on Implicit Function Representation of Light Fields Using Deep Learning
基于深度学习光场隐式函数表示的头戴式显示器空间校准
- 批准号:
23K16920 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Development of Very Low Head Tidal Turbine
甚低水头潮汐涡轮机的研制
- 批准号:
10072702 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Collaborative R&D
Generative scenarios for getting Transport to an equitable Net Zero - flipping modelling on its head using Machine Learning
让运输实现公平的净零排放的生成场景 - 使用机器学习颠覆模型
- 批准号:
2868504 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Studentship