IRIS-HSVD for automatic MRS data quantification

被引：0
|
作者：
Wang, Xin [1 ]
Lee, Jing-Huei [1 ]
机构：
[1] Univ Cincinnati, Dept Biomed Engn, Cincinnati, OH 45221 USA
来源：
2008 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-4 | 2008年
关键词：
magnetic resonance spectroscopy; signal processing; estimation; singular value decomposition;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
One of the most difficult problems in Magnetic Resonance Spectroscopy (MRS) data processing is to separate the targeted chemical compounds' signal from a distorted baseline in very noisy data. In this work, we propose a new quantification scheme based on the Iterative Reduction of Interference Signal Hankel Singular Value Decomposition (IRIS-HSVD) algorithm for accurate, robust and automatic quantification of multidimensional human brain P-31 MRS data.
引用
收藏
页码：1749 / 1752
页数：4
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