CAREER: Sensitivity and Contrast Enhancement in Magnetic Resonance by Spin Chaos, Control, and Amplification
CAREER: Sensitivity and Contrast Enhancement in Magnetic Resonance by Spin Chaos, Control, and Amplification
批准号:
0349362
负责人:
Yung-Ya Lin
金额:
$50.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-07-01 至 2009-06-30
中文摘要
在这个由化学系实验物理化学项目支持的职业奖项中,加州大学洛杉矶分校的林永亚教授将进行研究,通过利用、控制和放大自旋混沌来提高磁共振的灵敏度和对比度增强。林教授将开发一种虚拟磁共振(MR)设备,用于教育和推广,向学生和公众教授MR研究的基础知识,并为MR科学家提供一个虚拟实验室,以探索新的检测方案。林教授开发的方法可能会在改善磁共振成像的医疗应用方面发挥作用。林教授将指导研究生、本科生和博士后研究员进行这项研究。此外,虚拟MR设施将为初学者提供学习MR基础知识的工具,也将为经验丰富的研究人员提供探索工具。
英文摘要
In this CAREER award, supported by the Experimental Physical Chemistry Program of the Chemistry Division, Prof. Yung-Ya Lin at the University of California, Los Angeles, will conduct research on improving sensitivity and contrast enhancement in magnetic resonance by harnessing, controlling and amplifying spin chaos. Prof. Lin will develop a virtual magnetic resonance (MR) facility that will be used in education, and outreach to teach the fundamentals of MR research to students and the general public, as well as providing a virtual laboratory for MR scientists to explore new detection schemes.The methods developed by Prof. Lin may prove useful in improving magnetic resonance imaging for medical applications. Prof. Lin will mentor graduate students, undergraduate students and post-doctoral fellows in this research. In addition, the virtual MR facility will provide a tool for learning the basics of MR by beginning students as well as a tool for exploration by seasoned researchers.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
International Collaboration in Chemistry: Sensitivity & Contrast Enhancement in Solution MR Spectroscopy & Microimaging by Indirect Detection and Spin Amplification
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批准号:1416598
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项目类别:Continuing Grant
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资助金额:$41.0万
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财政年份:2014
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负责人:Yung-Ya Lin
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依托单位:
Sensitive Imaging of Magnetic Nanoparticles and Aggregates by Active Feedback Magnetic Resonance
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批准号:1112574
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项目类别:Standard Grant
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资助金额:$41.0万
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财政年份:2011
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负责人:Yung-Ya Lin
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依托单位:
CDI Type I. Mixing the Data to Knowledge direction: Computational Thinking for Faint Feature Detection by Feedback Control and Sensitivity/Resolution Enhancement of Matrix Images
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批准号:0835863
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项目类别:Standard Grant
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资助金额:$67.0万
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财政年份:2008
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负责人:Yung-Ya Lin
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依托单位:
海外基金