9.4 Tesla MR Scanner for Murine Imaging
9.4 Tesla MR Scanner for Murine Imaging
批准号:
6803345
负责人:
STUART S. BERR
金额:
$198.0万
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
项目状态:
已结题
起止时间:
2005-04-15 至 2007-04-14
中文摘要
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英文摘要
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 Experiments to date have utilized a 4.7 Tesla MRI/MRS system, which, by current standards, is outdated in terms of field strength and gradient performance.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.
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DOI:
10.2310/7290.2011.00054
发表时间:
2012-09
期刊:
Molecular Imaging
影响因子:
2.8
作者:
[Li Xiao;Yi Zhang;S. Berr;M. Chordia;P. Pramoonjago;L. Pu;D. Pan]
通讯作者:
Li Xiao;Yi Zhang;S. Berr;M. Chordia;P. Pramoonjago;L. Pu;D. Pan
DOI:
10.3390/bioengineering10121372
发表时间:
2023-11-29
期刊:
Bioengineering (Basel, Switzerland)
影响因子:
--
作者:
[]
通讯作者:
DOI:
10.1016/j.kint.2020.08.021
发表时间:
2021-01
期刊:
Kidney international
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
DOI:
10.1109/tbme.2020.3046252
发表时间:
2021-09
期刊:
IEEE transactions on bio-medical engineering
影响因子:
--
作者:
[Xu Y, Wu T, Charlton JR, Gao F, Bennett KM]
通讯作者:
Bennett KM
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:
Brain research
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
Fabrication and Testing of a Novel PET insert for Simultaneous PET/MRI
-
批准号:10471894
-
项目类别:
-
资助金额:$52.45万
-
财政年份:2020
-
负责人:STUART S. BERR
-
依托单位:
Fabrication and Testing of a Novel PET insert for Simultaneous PET/MRI
-
批准号:10267665
-
项目类别:
-
资助金额:$55.17万
-
财政年份:2020
-
负责人:STUART S. BERR
-
依托单位:
Fabrication and Testing of a Novel PET insert for Simultaneous PET/MRI
-
批准号:10704532
-
项目类别:
-
资助金额:$51.9万
-
财政年份:2020
-
负责人:STUART S. BERR
-
依托单位:
Trimodal PET/SPECT/CT Preclinical Scanner for Biomedical Research
-
批准号:9075711
-
项目类别:
-
资助金额:$116.42万
-
财政年份:2016
-
负责人:STUART S. BERR
-
依托单位:
In Vivo Optical Imaging Scanner for Small Animal Research
-
批准号:7596702
-
项目类别:
-
资助金额:$36.01万
-
财政年份:2009
-
负责人:STUART S. BERR
-
依托单位:
IBA Cyclone 18/9 Cyclotron
-
批准号:7498327
-
项目类别:
-
资助金额:$199.23万
-
财政年份:2008
-
负责人:STUART S. BERR
-
依托单位:
Small Animal Imaging Core
-
批准号:7304822
-
项目类别:
-
资助金额:$0.31万
-
财政年份:2006
-
负责人:STUART S. BERR
-
依托单位:
94 TESLA MR SCANNER FOR MURINE IMAGING: CARDIOVASCULAR
-
批准号:7166259
-
项目类别:
-
资助金额:$79.2万
-
财政年份:2005
-
负责人:STUART S. BERR
-
依托单位:
94 TESLA MR SCANNER FOR MURINE IMAGING: CANCER
-
批准号:7166261
-
项目类别:
-
资助金额:$49.5万
-
财政年份:2005
-
负责人:STUART S. BERR
-
依托单位:
94 TESLA MR SCANNER FOR MURINE IMAGING: ATHEROSCLEROSIS
-
批准号:7166260
-
项目类别:
-
资助金额:$49.5万
-
财政年份:2005
-
负责人:STUART S. BERR
-
依托单位:
94 TESLA MR SCANNER FOR MURINE IMAGING: IMAGING
-
批准号:7166262
-
项目类别:
-
资助金额:$19.8万
-
财政年份:2005
-
负责人:STUART S. BERR
-
依托单位:
MAGNETIC RESONANCE IMAGING OF ATHEROSCLEROSIS
-
批准号:6378201
-
项目类别:
-
资助金额:$11.1万
-
财政年份:2000
-
负责人:STUART S. BERR
-
依托单位:
MAGNETIC RESONANCE IMAGING OF ATHEROSCLEROSIS
-
批准号:6085086
-
项目类别:
-
资助金额:$10.62万
-
财政年份:2000
-
负责人:STUART S. BERR
-
依托单位:
MITS - SR Component
-
批准号:10554446
-
项目类别:
-
资助金额:$8.19万
-
财政年份:1997
-
负责人:STUART S. BERR
-
依托单位:
MITS - SR Component
-
批准号:10332961
-
项目类别:
-
资助金额:$8.19万
-
财政年份:1997
-
负责人:STUART S. BERR
-
依托单位:
Core--Small animal imaging facility
-
批准号:6205187
-
项目类别:
-
资助金额:$0.0万
-
财政年份:1987
-
负责人:STUART S. BERR
-
依托单位:
Small Animal Imaging Core
-
批准号:8104153
-
项目类别:
-
资助金额:$1.2万
-
财政年份:--
-
负责人:STUART S. BERR
-
依托单位:
Small Animal Imaging Core
-
批准号:7726755
-
项目类别:
-
资助金额:$0.61万
-
财政年份:--
-
负责人:STUART S. BERR
-
依托单位:
Small Animal Imaging Core
-
批准号:7771665
-
项目类别:
-
资助金额:$1.22万
-
财政年份:--
-
负责人:STUART S. BERR
-
依托单位:
Small Animal Imaging Core
-
批准号:7726784
-
项目类别:
-
资助金额:$0.61万
-
财政年份:--
-
负责人:STUART S. BERR
-
依托单位: