Parameterization of spectral baseline directly from short echo time full spectra in 1H-MRS

被引:11
作者
Lee, Hyeong Hun [1 ]
Kim, Hyeonjin [1 ,2 ,3 ]
机构
[1] Seoul Natl Univ, Dept Biomed Sci, Seoul, South Korea
[2] Seoul Natl Univ Hosp, Dept Radiol, 101 Daehangno, Seoul 03080, South Korea
[3] Seoul Natl Univ, Grad Sch Convergence Sci & Technol, Dept Transdisciplinary Studies, Suwon, South Korea
关键词
proton magnetic resonance spectroscopy (H-1-MRS); metabolite T-1; metabolite quantification; macromolecules; spectral baseline; baseline parameterization; MAGNETIC-RESONANCE-SPECTROSCOPY; VIVO H-1-NMR SPECTROSCOPY; PROTON MR SPECTROSCOPY; HUMAN BRAIN; IN-VIVO; RAT-BRAIN; MACROMOLECULE RESONANCES; NEUROCHEMICAL PROFILE; PRIOR KNOWLEDGE; T-2; RELAXATION;
D O I
10.1002/mrm.26502
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
PurposeTo investigate the feasibility of parameterizing macromolecule (MM) resonances directly from short echo time (TE) spectra rather than pre-acquired, T-1-weighted, metabolite-nulled spectra in H-1-MRS. MethodsInitial line parameters for metabolites and MMs were set for rat brain spectra acquired at 9.4 Tesla upon a priori knowledge. Then, MM line parameters were optimized over several steps with fixed metabolite line parameters. The proposed method was tested by estimating metabolite T-1. The results were compared with those obtained with two existing methods. Furthermore, subject-specific, spin density-weighted, MM model spectra were generated according to the MM line parameters from the proposed method for metabolite quantification. The results were compared with those obtained with subject-specific, T-1-weighted, metabolite-nulled spectra. ResultsThe metabolite T-1 were largely in close agreement among the three methods. The spin density-weighted MM resonances from the proposed method were in good agreement with the T-1-weighted, metabolite-nulled spectra except for the MM resonance at approximate to 3.2ppm. The metabolite concentrations estimated by incorporating these two different spectral baselines were also in good agreement except for several metabolites with resonances at approximate to 3.2ppm. ConclusionThe MM parameterization directly from short-TE spectra is feasible. Further development of the method may allow for better representation of spectral baseline with negligible T-1-weighting. Magn Reson Med 78:836-847, 2017. (c) 2016 International Society for Magnetic Resonance in Medicine.
引用
收藏
页码:836 / 847
页数:12
相关论文
共 46 条
[1]   Improved analysis of 1H-MR spectra in the presence of mobile lipids [J].
Auer, DP ;
Gössl, C ;
Schirmer, T ;
Czisch, M .
MAGNETIC RESONANCE IN MEDICINE, 2001, 46 (03) :615-618
[2]  
Bartha R, 1999, NMR BIOMED, V12, P205, DOI 10.1002/(SICI)1099-1492(199906)12:4<205::AID-NBM558>3.0.CO
[3]  
2-1
[4]   CHARACTERIZATION OF MACROMOLECULE RESONANCES IN THE H-1-NMR SPECTRUM OF RAT-BRAIN [J].
BEHAR, KL ;
OGINO, T .
MAGNETIC RESONANCE IN MEDICINE, 1993, 30 (01) :38-44
[5]   ANALYSIS OF MACROMOLECULE RESONANCES IN H-1-NMR SPECTRA OF HUMAN BRAIN [J].
BEHAR, KL ;
ROTHMAN, DL ;
SPENCER, DD ;
PETROFF, OAC .
MAGNETIC RESONANCE IN MEDICINE, 1994, 32 (03) :294-302
[6]   Optimization of residual water signal removal by HLSVD on simulated short echo time proton MR spectra of the human brain [J].
Cabanes, E ;
Confort-Gouny, S ;
Le Fur, Y ;
Simond, G ;
Cozzone, PJ .
JOURNAL OF MAGNETIC RESONANCE, 2001, 150 (02) :116-125
[7]   Two-dimensional linear-combination model fitting of magnetic resonance spectra to define the macromolecule baseline using FiTAID, a Fitting Tool for Arrays of Interrelated Datasets [J].
Chong, Daniel G. Q. ;
Kreis, Roland ;
Bolliger, Christine S. ;
Boesch, Chris ;
Slotboom, Johannes .
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, 2011, 24 (03) :147-164
[8]   Quantification of in vivo short echo-time proton magnetic resonance spectra at 14.1 T using two different approaches of modelling the macromolecule spectrum [J].
Cudalbu, C. ;
Mlynarik, V. ;
Xin, L. ;
Gruetter, Rolf .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2009, 20 (10)
[9]   Handling Macromolecule Signals in the Quantification of the Neurochemical Profile [J].
Cudalbu, Cristina ;
Mlynarik, Vladimir ;
Gruetter, Rolf .
JOURNAL OF ALZHEIMERS DISEASE, 2012, 31 :S101-S115
[10]   Comparison of T1 Relaxation Times of the Neurochemical Profile in Rat Brain at 9.4 Tesla and 14.1 Tesla [J].
Cudalbu, Cristina ;
Mlynarik, Vladimir ;
Xin, Lijing ;
Gruetter, Rolf .
MAGNETIC RESONANCE IN MEDICINE, 2009, 62 (04) :862-867