ProFit:: two-dimensional prior-knowledge fitting of J-resolved spectra
ProFit:: two-dimensional prior-knowledge fitting of J-resolved spectra
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DOI：
10.1002/nbm.1026
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发表时间：
2006-04-01
影响因子：
2.9
通讯作者：
Boesiger, P
中科院分区：
文献类型：
--
作者：
Schulte, RF;Boesiger, P
介绍了一种二维拟合方法，能够从二维J分辨磁共振波谱数据中提取全部信息。拟合过程使用`2D模型光谱的线性组合。为了降低自由度并提高稳健性，将其分为非线性外环和浓度的内线性最小二乘拟合。在体外和在体实验中，在全身3 T磁共振扫描仪上显示了人体脑内多种代谢物的可接受性，这些代谢物包括总肌酸、N-乙酰天冬氨酸、N-乙酰谷氨酸、含胆碱化合物、谷氨酸、肌醇、谷氨酸、鲨肌醇、γ-氨基丁酸、丙氨酸和抗坏血酸。版权所有（c）2006约翰威利父子有限公司。
A two-dimensional fitting procedure is introduced, capable of extracting the full amount of information front 2D J-resolved magnetic resonance spectroscopic data. The fitting procedure Uses a linear combination of`2D model spectra. For reducing the degrees of Freedom and increasing robustness, it is divided into a non-linear outer loop and an inner linear least-squares fit for the concentrations. In vitro and in vivo experiments on a whole-body 3T MR scanner show the delectability of a wide range of metabolites in the human brain, namely total creatine, N-acetylaspartate, N-acetylaspartyglutamate, choline-containing compounds,glutamate, myo-inositol, gluathione, scyllo-inositol, gamma-amino-butyric acid, alanine and ascorbic acid. Copyright (c) 2006 John Wiley & Sons, Ltd.