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

页码：1749 / 1752

页数：4

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