DocumentCode
333763
Title
Automatic extraction of metabolic maps from 1H-2D-CSI data through a wavelet packets decomposition method
Author
Mainardi, L.T. ; Origgi, D. ; Castelnuovo, N. ; Chezzi, G. ; Falini, A. ; Scotti, G. ; Cerutti, S.
Author_Institution
Dept. of Biomed. Eng., Polytech.. Univ., Milan, Italy
Volume
3
fYear
1998
fDate
29 Oct-1 Nov 1998
Firstpage
1461
Abstract
The paper presents a wavelet packets (WP) decomposition method for the post-processing of chemical-shift 1H-MRS data and for an automatic computation of metabolic maps within anatomical brain regions. WP decomposition is used to analyze the recorded FID signals and to isolate the different metabolite contributions in different frequency bands. In each sub-band LPSDV method has been applied to compute the peak parameters. The main metabolic component are then automatically classified by using peak information such as center frequency and damping factor. The estimated peak amplitudes are then used to construct maps of metabolic concentrations in the analyzed region
Keywords
biomedical NMR; brain; chemical shift; medical image processing; spectroscopy computing; wavelet transforms; 1H-2D-CSI data; anatomical brain regions; automatic extraction; chemical-shift; damping factor; free induction decay; linear prediction SVD; magnetic resonance spectroscopy; metabolic maps; peak parameters; post-processing; wavelet packets decomposition method; Biomedical computing; Biomedical engineering; Chemicals; Damping; Data mining; Frequency; Imaging phantoms; Parameter estimation; Signal analysis; Wavelet packets;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location
Hong Kong
ISSN
1094-687X
Print_ISBN
0-7803-5164-9
Type
conf
DOI
10.1109/IEMBS.1998.747160
Filename
747160
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