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对从人体大脑活体采集的[1H 去耦]13C MR 谱进行自动数据处理。

Automated data processing of [1H-decoupled] 13C MR spectra acquired from human brain in vivo.

作者信息

Shic Frederick, Ross Brian

机构信息

Rudi Schulte Research Institute, Santa Barbara, CA, USA.

出版信息

J Magn Reson. 2003 Jun;162(2):259-68. doi: 10.1016/s1090-7807(03)00117-4.

Abstract

In clinical 13C infusion studies, broadband excitation of 200 ppm of the human brain yields 13C MR spectra with a time resolution of 2-5 min and generates up to 2000 metabolite peaks over 2h. We describe a fast, automated, observer-independent technique for processing [1H-decoupled] 13C spectra. Quantified 13C spectroscopic signals, before and after the administration of [1-13C]glucose and/or [1-13C]acetate in human subjects are determined. Stepwise improvements of data processing are illustrated by examples of normal and pathological results. Variation in analysis of individual 13C resonances ranged between 2 and 14%. Using this method it is possible to reliably identify subtle metabolic effects of brain disease including Alzheimer's disease and epilepsy.

摘要

在临床13C灌注研究中,对人脑200 ppm进行宽带激发可产生时间分辨率为2 - 5分钟的13C磁共振波谱,并在2小时内产生多达2000个代谢物峰。我们描述了一种用于处理[1H去耦]13C波谱的快速、自动化、与观察者无关的技术。测定了人类受试者在给予[1-13C]葡萄糖和/或[1-13C]乙酸盐前后的定量13C波谱信号。通过正常和病理结果的实例说明了数据处理的逐步改进。个体13C共振分析的变化范围在2%至14%之间。使用这种方法可以可靠地识别包括阿尔茨海默病和癫痫在内的脑部疾病的细微代谢效应。

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