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Lactate editing and lipid suppression by continuous wavelet transform analysis: Application to simulated and 1 H MRS brain tumor time‐domain data
Author(s) -
Serrai Hacène,
NadalDesbarats Lydie,
Poptani Harish,
Glickson Jerry D.,
Senhadji Lotfi
Publication year - 2000
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/(sici)1522-2594(200005)43:5<649::aid-mrm6>3.0.co;2-#
Subject(s) - wavelet , wavelet transform , domain (mathematical analysis) , nuclear magnetic resonance , computer science , time domain , artificial intelligence , pattern recognition (psychology) , chemistry , physics , mathematics , computer vision , mathematical analysis
Abstract Determination of lactate concentrations in vivo is required in the noninvasive diagnosis, staging, and therapeutic monitoring of diseases such as cancer, heart disease, and stroke. An iterative filtering process based on the continuous wavelet transform (CWT) method in the time domain is proposed to isolate the lactate doublet signal from overlapping lipid resonances and estimate the magnetic resonance spectroscopy (MRS) parameters of the lactate methyl signal (signal amplitude, chemical shift, J ‐coupling and apparent transverse relaxation time ( T * 2 )). This method offers a number of advantages over the multiple quantum (MQ) and difference spectroscopy approaches, including: 1) full recovery of the lactate methyl signal, whereas the MQ methods usually detect 50% of the signal intensity; 2) in contrast to MQ methods, the lipid signal is retained together with J ‐coupling data on the lactate peak; 3) the CWT method is much less sensitive to motion artifacts than difference spectroscopy. Application of the method to simulated and real 1 H MRS data collected from human blood plasma and brain tumors demonstrated that this filter provides accurate estimates of the MRS parameters of the lactate doublet and efficiently removes lipid contributions. Magn Reson Med 43:649–656, 2000. © 2000 Wiley‐Liss, Inc.