PURPOSE: To propose using the generalized least square (GLS) algorithm for combining multichannel single-voxel magnetic resonance spectroscopy (MRS) signals. MATERIALS AND METHODS: Phantom and in vivo brain MRS experiments on a 7 T scanner equipped with a 32-channel receiver coil, as well as Monte Carlo simulations, were performed to compare the coefficient of variation (CV) of the GLS method with those of two recently reported spectral combination methods. RESULTS: Compared to the two existing methods, the GLS method significantly reduced CV values for the simulation, phantom, and in vivo experiments. CONCLUSION: The GLS method can lead to improved precision of peak quantification.
PURPOSE: To propose using the generalized least square (GLS) algorithm for combining multichannel single-voxel magnetic resonance spectroscopy (MRS) signals. MATERIALS AND METHODS: Phantom and in vivo brain MRS experiments on a 7 T scanner equipped with a 32-channel receiver coil, as well as Monte Carlo simulations, were performed to compare the coefficient of variation (CV) of the GLS method with those of two recently reported spectral combination methods. RESULTS: Compared to the two existing methods, the GLS method significantly reduced CV values for the simulation, phantom, and in vivo experiments. CONCLUSION: The GLS method can lead to improved precision of peak quantification.
Authors: N Martini; M F Santarelli; G Giovannetti; M Milanesi; D De Marchi; V Positano; L Landini Journal: NMR Biomed Date: 2010-01 Impact factor: 4.044
Authors: Zihan Zhu; Xucheng Zhu; Michael A Ohliger; Shuyu Tang; Peng Cao; Lucas Carvajal; Adam W Autry; Yan Li; John Kurhanewicz; Susan Chang; Rahul Aggarwal; Pamela Munster; Duan Xu; Peder E Z Larson; Daniel B Vigneron; Jeremy W Gordon Journal: J Magn Reson Date: 2019-02-01 Impact factor: 2.229
Authors: Níall Lally; Li An; Dipavo Banerjee; Mark J Niciu; David A Luckenbaugh; Erica M Richards; Jonathan P Roiser; Jun Shen; Carlos A Zarate; Allison C Nugent Journal: J Magn Reson Imaging Date: 2015-06-07 Impact factor: 4.813