9.4 Tesla MR Scanner for Murine Imaging

9.4 用于小鼠成像的 Tesla MR 扫描仪

基本信息

  • 批准号:
    6803345
  • 负责人:
  • 金额:
    $ 198万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2005
  • 资助国家:
    美国
  • 起止时间:
    2005-04-15 至 2007-04-14
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The University of Virginia Schools or Medicine and Engineering have established successful research programs in the development and application of magnetic resonance imaging (MRI) and spectroscopy (MRS) for non-invasive serial studies of the molecular mechanisms underlying ischemic heart disease (IHD), atherosclerosis, and gastric cancer in transgenic and knockout mice. Experiments to date have utilized a 4.7 Tesla MRI/MRS system, which, by current standards, is outdated in terms of field strength and gradient performance. We propose to purchase a 9.4 Telsa MRI/MRS system with state-of-the-art magnet, gradients and radio-frequency coils to enhance these lines of research. The new system is expected to provide higher signal-to-noise ratio (SNR), shorter echo times, and shorter repetition times, which would result in higher spatial, temporal, and spectral resolutions, as well as reduced scan times. These technical enhancements would be used to either improve upon existing studies or enable entirely new areas of investigation. For example, in the heart the increase in temporal resolution would not only improve the evaluation of myocardial function at rest, but would also enable the evaluation of contractile reserve during dobutamine infusion. In addition, the new system will enable us to begin studying myocardial perfusion in mouse models of IHD, and important and understudied area. Specifically, the new system will enable first-pass contrast-enhanced imaging with high spatial and temporal resolutions and improved arterial spin labeling methods. The increase in SNR and spectral resolution should also enable localized in vivo 31P MRS studies of myocardial energetics. For atherosclerosis and gastric cancer, the improvement in SNR will be used to achieve high spatial resolution for vessel wall imaging of the mouse aorta and carotid arteries, and for imaging the wall of the stomach, all of which are severely SNR limited at 4.7T. The enhanced capabilities of the new system will be brought to fruition through an existing comprehensive technical, scientific, and administrative plan.
描述(由申请人提供):弗吉尼亚大学学校或医学与工程学在开发和应用磁共振成像(MRI)和光谱(MRS)方面建立了成功的研究计划(MRS),用于对缺血性心脏病(IHD),动脉粥样硬化,动脉粥样硬化和敲除转基因和敲除的分子机制的非侵入性连续研究。迄今为止,实验利用了4.7 Tesla MRI/MRS系统,按照当前标准,该系统在现场强度和梯度性能方面已过时。我们建议购买9.4 Telsa MRI/MRS系统,并使用最先进的磁铁,梯度和射频线圈,以增强这些研究线。预计新系统将提供更高的信噪比(SNR),较短的回声时间和较短的重复时间,这将导致较高的空间,时间和光谱分辨率以及减少扫描时间。这些技术增强功能将用于改善现有研究或实现全新的调查领域。例如,在内心,时间分辨率的增加不仅会改善对静止的心肌功能的评估,而且还可以在多丁胺输注过程中评估收缩储备。此外,新系统将使我们能够在IHD的小鼠模型以及重要且研究的区域开始研究心肌灌注。具体而言,新系统将通过高空间和时间分辨率以及改进的动脉自旋标记方法来实现第一级对比增强成像。 SNR和光谱分辨率的增加还应使体内31p MRS的心肌能量研究。对于动脉粥样硬化和胃癌,SNR的改进将用于实现高空间分辨率,用于小鼠主动脉和颈动脉的血管壁成像,以及对胃壁进行成像,所有这些胃壁均受到4.7吨的严重限制。新系统的增强功能将通过现有的全面技术,科学和行政计划实现。

项目成果

期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
BlobCUT: A Contrastive Learning Method to Support Small Blob Detection in Medical Imaging.
Magnetic resonance imaging accurately tracks kidney pathology and heterogeneity in the transition from acute kidney injury to chronic kidney disease.
  • DOI:
    10.1016/j.kint.2020.08.021
  • 发表时间:
    2021-01
  • 期刊:
  • 影响因子:
    19.6
  • 作者:
    Charlton JR;Xu Y;Wu T;deRonde KA;Hughes JL;Dutta S;Oxley GT;Cwiek A;Cathro HP;Charlton NP;Conaway MR;Baldelomar EJ;Parvin N;Bennett KM
  • 通讯作者:
    Bennett KM
Small Blob Detector Using Bi-Threshold Constrained Adaptive Scales.
RNA-seq analyses reveal that cervical spinal cords and anterior motor neurons from amyotrophic lateral sclerosis subjects show reduced expression of mitochondrial DNA-encoded respiratory genes, and rhTFAM may correct this respiratory deficiency.
RNA-seq 分析表明,肌萎缩侧索硬化症受试者的颈脊髓和前运动神经元表现出线粒体 DNA 编码的呼吸基因表达减少,而 rhTFAM 可能会纠正这种呼吸缺陷。
  • DOI:
    10.1016/j.brainres.2017.05.010
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    Ladd,AmyC;Brohawn,DavidG;Thomas,RavindarR;Keeney,PaulaM;Berr,StuartS;Khan,ShaharyarM;Portell,FranciscoR;Shakenov,MeiramZh;Antkowiak,PatrickF;Kundu,Bijoy;Tustison,Nicholas;Bennett,JamesP
  • 通讯作者:
    Bennett,JamesP
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STUART S. BERR其他文献

STUART S. BERR的其他文献

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{{ truncateString('STUART S. BERR', 18)}}的其他基金

Fabrication and Testing of a Novel PET insert for Simultaneous PET/MRI
用于同步 PET/MRI 的新型 PET 插入物的制造和测试
  • 批准号:
    10471894
  • 财政年份:
    2020
  • 资助金额:
    $ 198万
  • 项目类别:
Fabrication and Testing of a Novel PET insert for Simultaneous PET/MRI
用于同步 PET/MRI 的新型 PET 插入物的制造和测试
  • 批准号:
    10267665
  • 财政年份:
    2020
  • 资助金额:
    $ 198万
  • 项目类别:
Fabrication and Testing of a Novel PET insert for Simultaneous PET/MRI
用于同步 PET/MRI 的新型 PET 插入物的制造和测试
  • 批准号:
    10704532
  • 财政年份:
    2020
  • 资助金额:
    $ 198万
  • 项目类别:
Trimodal PET/SPECT/CT Preclinical Scanner for Biomedical Research
用于生物医学研究的三模态 PET/SPECT/CT 临床前扫描仪
  • 批准号:
    9075711
  • 财政年份:
    2016
  • 资助金额:
    $ 198万
  • 项目类别:
In Vivo Optical Imaging Scanner for Small Animal Research
用于小动物研究的体内光学成像扫描仪
  • 批准号:
    7596702
  • 财政年份:
    2009
  • 资助金额:
    $ 198万
  • 项目类别:
IBA Cyclone 18/9 Cyclotron
IBA 旋风分离器 18/9 回旋加速器
  • 批准号:
    7498327
  • 财政年份:
    2008
  • 资助金额:
    $ 198万
  • 项目类别:
Small Animal Imaging Core
小动物成像核心
  • 批准号:
    7304822
  • 财政年份:
    2006
  • 资助金额:
    $ 198万
  • 项目类别:
94 TESLA MR SCANNER FOR MURINE IMAGING: CARDIOVASCULAR
94 TESLA MR 小鼠成像扫描仪:心血管
  • 批准号:
    7166259
  • 财政年份:
    2005
  • 资助金额:
    $ 198万
  • 项目类别:
94 TESLA MR SCANNER FOR MURINE IMAGING: CANCER
94 TESLA MR 小鼠成像扫描仪:癌症
  • 批准号:
    7166261
  • 财政年份:
    2005
  • 资助金额:
    $ 198万
  • 项目类别:
94 TESLA MR SCANNER FOR MURINE IMAGING: ATHEROSCLEROSIS
94 TESLA MR 小鼠成像扫描仪:动脉粥样硬化
  • 批准号:
    7166260
  • 财政年份:
    2005
  • 资助金额:
    $ 198万
  • 项目类别:

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  • 批准号:
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  • 财政年份:
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BD LSR II MULTIPARAMETER FLOW CYTOMETER
BD LSR II 多参数流式细胞仪
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    2005
  • 资助金额:
    $ 198万
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