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
收藏
页码：229 / 239
页数：11
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