DocumentCode
3322051
Title
Water Component Suppression by Empirical Model Decomposition
Author
Zeng Weiming ; Zhang Shouchun
Author_Institution
Coll. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
4
Abstract
Water component suppression is critical in proto magnetic resonance spectroscopy quantification analysis. In this paper, we present a new water component suppression method based on empirical model decomposition. Simulated signal experiment and in vivo signal experiment show that the method may have better performance than the classical method based on singular value decomposition.
Keywords
brain; magnetic resonance spectroscopy; medical signal processing; neurophysiology; physiological models; singular value decomposition; water; classical method; empirical model decomposition; in vivo signal experiment; protomagnetic resonance spectroscopy quantification analysis; simulated signal experiment; singular value decomposition; water component suppression; In vivo; Nuclear magnetic resonance; Protons; Solvents; Spectroscopy; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location
Wuhan
ISSN
2151-7614
Print_ISBN
978-1-4244-5088-6
Type
conf
DOI
10.1109/icbbe.2011.5780275
Filename
5780275
Link To Document