HIGH FIELD MRI: LIMITATIONS AND SOLUTIONS
高场 MRI:局限性和解决方案
基本信息
- 批准号:7955013
- 负责人:
- 金额:$ 1.28万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-06-01 至 2010-05-31
- 项目状态:已结题
- 来源:
- 关键词:Anatomic ModelsComputer Retrieval of Information on Scientific Projects DatabaseContractsDevelopmentFundingGrantHumanImageInstitutionMagnetic Resonance ImagingMedical centerMinnesotaResearchResearch PersonnelResourcesSolutionsSourceSpectrum AnalysisUnited States National Institutes of HealthValidationWorkYangsimulation
项目摘要
This subproject is one of many research subprojects utilizing the
resources provided by a Center 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 Center, which is not necessarily the institution for the investigator.
Drs. Chris Collins, Qing Yang, Vaughan, Garwood, Ugurbil, and respective staffs are collaborating to identify and characterize the limitations, and to discover and develop new solution for MRI of humans at 7T and higher. The Penn State Hershey Medical Center Lab of Drs. Collins and Yang (formerly that of Dr. Michael Smith), has pioneered the development of high fidelity, highly segmented human anatomic models for numerical simulations of SNR, SAR, B1 uniformity and other physical parameters. Through theoretical simulation and empirical validation, we are able to explore the problems and find new solutions to human imaging at unprecedented field strengths. This work is supported in part by a Minnesota sub-contract to Penn State's NIH-PAR-02-010, and by Penn State's subcontract with Vaughan's NIH-EB000895.
这个子项目是众多研究子项目之一
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)
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Christopher M Collins其他文献
Inferring energy-composition relationships with Bayesian optimization enhances exploration of inorganic materials.
通过贝叶斯优化推断能量成分关系可以增强对无机材料的探索。
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:4.4
- 作者:
A. Vasylenko;Benjamin Asher;Christopher M Collins;M. Gaultois;G. Darling;M. Dyer;M. Rosseinsky - 通讯作者:
M. Rosseinsky
Christopher M Collins的其他文献
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{{ truncateString('Christopher M Collins', 18)}}的其他基金
Next-Generation RF Coils with High-Permittivity Material for Improved Performance in MRI
采用高介电常数材料的下一代射频线圈可提高 MRI 性能
- 批准号:
9007398 - 财政年份:2016
- 资助金额:
$ 1.28万 - 项目类别:
TR&D 2: Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines
TR
- 批准号:
10701718 - 财政年份:2014
- 资助金额:
$ 1.28万 - 项目类别:
TR&D 2: Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines
TR
- 批准号:
10246948 - 财政年份:2014
- 资助金额:
$ 1.28万 - 项目类别:
TR&D 2: Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines
TR
- 批准号:
10453645 - 财政年份:2014
- 资助金额:
$ 1.28万 - 项目类别:
TR&D 2: Unshackling the Scanners of the Future: Flexible, self-correcting, multisensor machines
TR
- 批准号:
9804441 - 财政年份:2014
- 资助金额:
$ 1.28万 - 项目类别:
RF Technology Innovation for Advancing High Field MR.
推动高场 MR 发展的射频技术创新。
- 批准号:
8433352 - 财政年份:2011
- 资助金额:
$ 1.28万 - 项目类别:
RF Technology Innovation for Advancing High Field MR.
推进高场 MR 的射频技术创新。
- 批准号:
8608523 - 财政年份:2011
- 资助金额:
$ 1.28万 - 项目类别:














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