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Lactate doublet quantification and lipid signal suppression using a new biexponential decay filter: Application to simulated and 1 H MRS brain tumor time‐domain data
Author(s) -
Serrai Hacene,
Senhadji Lotfi,
Wang Guoyu,
Akoka Serge,
Stroman Patrick
Publication year - 2003
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.10544
Subject(s) - filter (signal processing) , signal (programming language) , nuclear magnetic resonance , relaxation (psychology) , time domain , noise (video) , amplitude , exponential function , computation , chemistry , resonance (particle physics) , exponential decay , physics , computational physics , algorithm , atomic physics , computer science , mathematics , mathematical analysis , optics , artificial intelligence , psychology , social psychology , image (mathematics) , computer vision , programming language , nuclear physics
A new postprocessing filter based on the continuous wavelet transform (CWT) method modeled as a biexponential decay function to isolate the lactate doublet from overlapping lipid resonance(s) and estimate its magnetic resonance spectroscopy (MRS) parameters (signal amplitude, resonance frequencies, and apparent relaxation time ( T * 2 )) is proposed. The new filter employs the same iterative process used in the previously single exponential decay filter. A comparison of the results obtained from application of both filters to simulated data and real 1 H MRS data collected from human blood plasma and brain tumors demonstrates that the new filter provides a better estimate of MRS parameters of lactate, with less computation time. Furthermore, the results show that the new filter is less sensitive to noise and provides a direct estimate of J ‐coupling value of the lactate doublet. Magn Reson Med 50:623–626, 2003. © 2003 Wiley‐Liss, Inc.