GENERALIZED EFFICIENT NMR SPECTRAL LOCALIZATION

广义高效核磁共振谱定位

• 批准号: 3196154
• 负责人: PAUL C LAUTERBUR
• 金额: $ 18.38万
• 依托单位: UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-30 至 1996-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3196154
• 关键词: computer data analysis; computer program /software; mathematical model; model design /development; nuclear magnetic resonance spectroscopy; spectrometry

The broad, long-term objectives of this project are to extend and perfect a general solution to the problem of localizing nuclear magnetic resonance spectra for biomedical research and clinical applications. Existing partial solutions to this problem attempt to define one or more regions whose shapes are determined by the nature of the equipment or technique, and to place these within the organ or lesion of interest. The method proposed here can use anatomical information, as obtained routinely by standard MRI methods, to define any number of volumes of any shape. If desired, it can be used to define the rectangular volume elements characteristic of more specialized techniques as well. Decisions concerning boundaries, locations and numbers of regions can be changed retrospectively. This information may be combined mathematically with spectroscopic data, such as those from 31P spectra of phosphorus metabolites, 1H spectra of lactate and neurotransmitters and 13C spectra of metabolites, to give the spectra and concentration of these substances in all anatomical regions simultaneously, but in a much shorter time than required for conventional chemical shift imaging. This can be accomplished with fewer and less stringent demands on the imaging system than those made by less general methods, requiring no hardware changes and minimal changes in operating procedures (pulse sequences). Only modest additions to signal processing software are required. Careful study of optimum procedures and data analysis are required to make the full possibilities of these new techniques reliably available for practical use, so that in vivo spectroscopy can become a routine part of many magnetic resonance imaging procedures. Careful studies will be made, using computer simulations and phantoms, of the reliability and generality of the method and of its advantages and disadvantages when compared with other methods. The specific aims are: 1) to complete the mathematical analysis of optimal methods for combining imaging and spectroscopic data; 2) to fully analyze the quantitative accuracy of these methods; 3) to create computer programs for the routine use of these new methods in research, and 4) to carry out the necessary tests to verify the effectiveness and reliability of this general solution to the problem of in vivo spectroscopy.

该项目的广泛和长期目标是扩展和完善 定域化核磁共振问题的一般解 用于生物医学研究和临床应用的共振光谱。 该问题的现有部分解决方案试图定义一个或多个 其形状由设备性质决定的区域，或 技术，并将其放置在感兴趣的器官或病变内。 这里提出的方法可以使用所获得的解剖信息， 常规地通过标准MRI方法，以定义任何数量的任何体积， 形状 如果需要，可以使用它来定义矩形体积 更专业的技术特征也是如此。 关于区域的边界、位置和数量的决定， 回顾性地改变。 这些信息可以用数学方法组合起来 光谱数据，如磷的31 P光谱数据 代谢物、乳酸和神经递质的1H谱和13 C谱 代谢物的光谱和浓度 在所有的解剖区域同时，但在更短的时间内， 这是常规化学位移成像所需的。 这可以 对成像系统的要求越来越少 而不需要改变硬件 以及操作程序（脉冲序列）的最小变化。 只 需要对信号处理软件进行适度的添加。 需要仔细研究最佳程序和数据分析， 使这些新技术的全部可能性可靠地可用 为了实际应用，使得体内光谱学可以成为常规部分， 许多磁共振成像程序。 仔细的研究将 使用计算机模拟和幻影， 方法的一般性及其优缺点， 与其他方法相比。 具体目标是：1）完成 数学分析的最佳方法相结合的成像和 光谱数据; 2）充分分析的定量准确性 这些方法; 3）创建计算机程序的日常使用， 这些新的研究方法，以及4）进行必要的测试 为了验证该通用解决方案的有效性和可靠性， 体内光谱学的问题。