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
fDate :
29 Oct-1 Nov 1998
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.747160
