GOALI: Parallel MRI Using Phased Array Coils
GOALI:使用相控阵线圈的并行 MRI
基本信息
- 批准号:0731226
- 负责人:
- 金额:$ 15.41万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-07-15 至 2011-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Ying0731226The goal of this GOALI proposal is to develop a theoretical and algorithmic framework for parallel MRI imaging and to develop and enhance academic-industry collaboration in research and training of graduate students. Both theoretical and algorithmic developments and improvements are proposed which will be complemented with experimental work. The PIs propose a multifaceted approach to addresses both the excitation and reconstruction problems in an integrated and systematic way through theoretical and algorithmic developments. They propose to increase the spatial selectivity and reduce RF power deposition through the design of optimal RF pulses for parallel excitation; maximize the speed of image reconstruction by providing an optimal solution to the inverse problem; and validate the new methods with real MRI experiments on phantoms and human subjects. This project can provide fundamental results essential in the filed of MR imaging that will also have direct applicability in clinical and research cases that require fast and highly sensitive imaging. Because General Electric is a partner in the proposed research, the PIs have the necessary equipment and resources available to pursue the objectives of the proposed research plan. The proposed project can have a broad and significant impact in the fields of biomedical imaging, engineering, and medicine, and in healthcare delivery, as it will improve the fundamentals of MRI technology with immediate applications in cardiac imaging, functional brain imaging, and cancer imaging. Also, four graduate students will be involved in the research activities and they will be exposed to cutting edge imaging facilities at GE. The PIs also plan to recruit undergraduate students into the proposed research. They also plan to organize a workshop on parallel imaging to disseminate the research results.
Ying0731226该 GOALI 提案的目标是开发并行 MRI 成像的理论和算法框架,并发展和加强研究生研究和培训方面的学术与工业合作。提出了理论和算法的发展和改进,并将通过实验工作进行补充。 PI 提出了一种多方面的方法,通过理论和算法的开发,以集成和系统的方式解决激励和重建问题。他们建议通过设计并行激励的最佳射频脉冲来提高空间选择性并减少射频功率沉积;通过提供逆问题的最优解来最大化图像重建的速度;并通过对人体模型和人体进行真实的 MRI 实验来验证新方法。该项目可以提供 MR 成像领域必不可少的基本结果,这些结果也将直接适用于需要快速和高灵敏度成像的临床和研究案例。由于通用电气是拟议研究的合作伙伴,因此 PI 拥有必要的设备和资源来实现拟议研究计划的目标。拟议的项目可以在生物医学成像、工程和医学以及医疗保健领域产生广泛而重大的影响,因为它将改善 MRI 技术的基础知识,并立即应用于心脏成像、功能性脑成像和癌症成像。此外,四名研究生将参与研究活动,他们将接触 GE 的尖端成像设施。 PI 还计划招募本科生参与拟议的研究。他们还计划组织一个关于并行成像的研讨会来传播研究成果。
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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Leslie Ying其他文献
Improved Parallel Image Reconstruction using Feature Refinement
使用特征细化改进并行图像重建
- DOI:
10.1002/mrm.27024 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Jing Cheng;Sen Jia;Leslie Ying;Yuanyuan Liu;Shanshan Wang;Yanjie Zhu;Ye Li;Chao Zou;Xin Liu;Dong Liang - 通讯作者:
Dong Liang
Iterative Feature Refinement for Accurate Undersampled MR Image Reconstruction(该论文被选为 “Highlights of 2016”)
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:3.5
- 作者:
Shanshan Wang;Jianbo Liu;Qiegen Liu;Leslie Ying;Xin Liu;Hairong Zheng;Dong Liang - 通讯作者:
Dong Liang
A plasmonic "rainbow" chip for intelligent spectrometer
用于智能光谱仪的等离子体“彩虹”芯片
- DOI:
10.1364/cleo_si.2023.sth3r.5 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Dylan Tua;Ruiying Liu;Lyu Zhou;Wenhong Yang;Haomin Song;Leslie Ying;Qiaoqiang Gan - 通讯作者:
Qiaoqiang Gan
Simultaneous Multicolor Spectroscopic Single-molecule Localization Microscopy Image Reconstruction using Machine Learning
使用机器学习同时进行多色光谱单分子定位显微图像重建
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
S. K. Gaire;Ethan Flowerday;J. Frederick;Ruyi Gong;Leslie Ying;Hao F. Zhang;Vadim Backman - 通讯作者:
Vadim Backman
Deep Learning-based Spectroscopic Single-molecule Localization Microscopy for Simultaneous Multicolor Imaging
基于深度学习的光谱单分子定位显微镜同时多色成像
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
S. K. Gaire;Ethan Flowerday;J. Frederick;Ruyi Gong;Sravya Prabhala;Leslie Ying;Hao F. Zhang;V. Backman - 通讯作者:
V. Backman
Leslie Ying的其他文献
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{{ truncateString('Leslie Ying', 18)}}的其他基金
Collaborative Research: In vivo Deep Tissue Imaging with Ultrafast, Volumetric Super-Resolution Microscopy
合作研究:利用超快体积超分辨率显微镜进行体内深层组织成像
- 批准号:
1604531 - 财政年份:2016
- 资助金额:
$ 15.41万 - 项目类别:
Standard Grant
CAREER: Compressed Sensing Magnetic Resonance Imaging
职业:压缩传感磁共振成像
- 批准号:
1265612 - 财政年份:2012
- 资助金额:
$ 15.41万 - 项目类别:
Continuing Grant
CAREER: Compressed Sensing Magnetic Resonance Imaging
职业:压缩传感磁共振成像
- 批准号:
0846514 - 财政年份:2009
- 资助金额:
$ 15.41万 - 项目类别:
Continuing Grant
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