课题基金 / 基金详情

In Vivo EPR Bioengineering Research Partnership

In Vivo EPR Bioengineering Research Partnership
体内 EPR 生物工程研究合作伙伴
批准号:
6889234
负责人:
Gareth R Eaton
金额:
$30.03万
依托单位国家:
美国
项目类别:
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-05-06 至 2007-04-30

项目摘要

项目成果

Gareth R Eaton的其他基金

相关文献

中文摘要
翻译
描述(申请人提供):活体顺磁共振(EPR) 要求在尽可能短的时间内实现最佳信噪比(S/N)增强 时间到了。为了研究深层组织中的自由基,有必要进行EPR 在低射频(例如,250 MHz)下进行测量,如在MRI中。这将减少 相对于更常见的9 GHz EPR,S/N。生理运动和 在通常的EPR测量时间内发生的新陈代谢需要 体内研究的特殊技术的发展。现建议: 建立工程师、研究科学家、临床医生和 业界将全面设计一种致力于活体光谱和 成像。作为第一步,建议设计一个CW 250 MHz EPR 光谱仪系统经过优化,可实现最佳的体内自由基灵敏度 单位时间。具体任务包括设计、施工和测试 一种用于体内EPR的空芯磁体,优化了快速磁场扫描, 以及用于快速扫描磁场的控制系统。我们向您介绍 创新是磁铁将被共振,磁场扫描将被 正弦。分光计噪声谱密度的测量 系统,以及谐振器中带有鼠标的光谱仪,将提供 光谱仪噪声特性的数学模型的基础是 对于不同的磁场,哪种方法可以预测单位时间的S/N 扫描速度。将不同扫描速率下的S/N与预测值进行比较 价值观。将编写软件来线性化和去卷积光谱 在快速扫描条件下记录的信息。在随后的努力中,它是 建议将生物工程研究伙伴关系的范围扩大到 解决生理运动的最佳补偿问题, 获取全射频频谱并进行后处理以取代模拟 前处理,并设计开放式磁铁结构,以实现更好的患者 验收,降低成本。
英文摘要
DESCRIPTION (provided by applicant): In vivo paramagnetic resonance (EPR) requires optimal signal-to-noise (S/N) enhancement in the shortest possible time. To study radicals in deep tissues it is necessary to perform the EPR measurements at low radiofrequency (e.g., 250 MHz), as in MRI. This decreases the S/N relative to the more common 9 GHz EPR. Physiological motions and metabolism occurring within the time of the usual EPR measurements necessitate the development of special techniques for in vivo studies. It is proposed to establish a partnership of engineers, research scientists, clinicians, and industry to fully engineer an EPR system dedicated to in vivo spectroscopy and imaging. As a first step, it is proposed to engineer a CW 250 MHz EPR spectrometer system optimized for the best in vivo free radical sensitivity per unit time. The specific tasks include the design, construction, and testing of an air-core magnet for in vivo EPR optimized for rapid magnetic field scans, and a control system for scanning the magnetic field rapidly. We introduce the innovation that the magnet will be resonated, and magnetic field scans will be sinusoidal. Measurement of the noise spectral densities of the spectrometer system, and of a spectrometer with a mouse in the resonator, will provide the basis for a mathematical model of the spectrometer noise characteristics from which one can predict the S/N per unit time expected for various magnetic field scan rates. The S/N for various scan rates will be compared with the predicted values. Software will be written to linearize and deconvolute the spectral information recorded under rapid-scan conditions. In subsequent effort it is proposed to extend the scope of the bioengineering research partnership to tackle the problems of optimal compensation for physiological motion, acquisition of the full RF spectrum and post-processing to replace analog pre-processing, and design of open magnet structures to achieve better patient acceptance and decrease costs.
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