Automatic frequency correction for quantification of magnetic resonance spectroscopic images

被引：0

作者：

Wang, Y ^{[1
]}

Van Huffel, S ^{[1
]}

Heyvaert, E ^{[1
]}

Vanhamme, L ^{[1
]}

Van Hecke, P ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Dept Elect Engn, B-3001 Louvain, Belgium

来源：

MATHEMATICS IN SIGNAL PROCESSING V | 2002年 / 71期

关键词：

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We present two new methods based on Principal Component Analysis (PCA) using the complex Singular Value Decomposition (SVD) and cross-correlation of the magnitude spectra for correcting frequency shifts of resonances in sets of Magnetic Resonance (MR) spectra and spectroscopic images. After a description of the methods, we compare their performance on simulated data sets of Magnetic Resonance Spectroscopic Images and discuss their advantages and limitations.

引用

页码：229 / 239

页数：11

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