Literature DB >> 29217493

Effects of proximity and noise level of phased array coil elements on overall signal-to-noise in parallel MR spectroscopy.

Candace C Fleischer1, Xiaodong Zhong2, Hui Mao3.   

Abstract

Parallel imaging using phased array coils facilitates accelerated magnetic resonance imaging (MRI) and spectroscopy (MRS). Parallel data reconstruction requires the combination of data from individual coil elements, but limited combination algorithms currently exist for higher-order phased arrays and MRS data. Here, we present a systematic framework for identifying coil proximity-related signal inhomogeneities and noise levels in phased array coils that may affect sensitivity of parallel MRS. Single-voxel MRS was acquired in nine voxel positions in a brain spectroscopy phantom on a 3T whole-body MR scanner using commercially available 64-, 32-, and 20-channel phased array coils. Spectra produced by individual coil elements were combined using both a signal-to-noise ratio (SNR) threshold and based on the position of individual coil elements. SNR and metabolite Cramer-Rao lower bounds (CRLBs) from the final combined spectra were used as metrics to compare combination strategies and the effects of the phased array geometry and individual coil proximity. Comparisons were performed using one-way repeated measures ANOVA and post-hoc Tukey's range test (p<0.05). The 32-channel phased array coil produced the highest overall SNR compared to the 64-channel (p=0.0009) or 20-channel coils (p=0.003). Low SNR spectra from individual coil elements in the 64-channel coil can reduce the overall SNR when simply combining spectra from all elements. SNR varied significantly as a function of voxel position (F=58.3, p<0.0001) and SNR threshold for all phased arrays (p<0.05 for 64-, 32-, and 20-channel coils). Metabolite CRLBs were dependent on the combination strategy. We demonstrate the importance of the sampling voxel position and coil proximity on overall SNR in parallel MRS data acquisition, with significant SNR improvements after selectively filtering individual spectra based on pre-determined SNR thresholds which must be optimized for each phased array coil element and volume of interest.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Magnetic resonance spectroscopy; Parallel imaging; Phased array; Signal-to-noise

Mesh:

Year:  2017        PMID: 29217493      PMCID: PMC5828900          DOI: 10.1016/j.mri.2017.12.001

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  13 in total

1.  Image construction methods for phased array magnetic resonance imaging.

Authors:  Deniz Erdogmus; Rui Yan; Erik G Larsson; Jose C Principe; Jeffrey R Fitzsimmons
Journal:  J Magn Reson Imaging       Date:  2004-08       Impact factor: 4.813

2.  The NMR phased array.

Authors:  P B Roemer; W A Edelstein; C E Hayes; S P Souza; O M Mueller
Journal:  Magn Reson Med       Date:  1990-11       Impact factor: 4.668

3.  Time-domain combination of MR spectroscopy data acquired using phased-array coils.

Authors:  Mark A Brown
Journal:  Magn Reson Med       Date:  2004-11       Impact factor: 4.668

4.  Noise correlations and SNR in phased-array MRS.

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

5.  Comparison of a 32-channel with a 12-channel head coil: are there relevant improvements for functional imaging?

Authors:  Evangelia Kaza; Uwe Klose; Martin Lotze
Journal:  J Magn Reson Imaging       Date:  2011-05-25       Impact factor: 4.813

Review 6.  Parallel MR imaging.

Authors:  Anagha Deshmane; Vikas Gulani; Mark A Griswold; Nicole Seiberlich
Journal:  J Magn Reson Imaging       Date:  2012-07       Impact factor: 4.813

Review 7.  Massively parallel MRI detector arrays.

Authors:  Boris Keil; Lawrence L Wald
Journal:  J Magn Reson       Date:  2013-02-07       Impact factor: 2.229

8.  Phased-array combination for MR spectroscopic imaging using a water reference.

Authors:  Abas Abdoli; Andrew A Maudsley
Journal:  Magn Reson Med       Date:  2015-09-28       Impact factor: 4.668

9.  Methodology for improved detection of low concentration metabolites in MRS: optimised combination of signals from multi-element coil arrays.

Authors:  Emma L Hall; Mary C Stephenson; Darren Price; Peter G Morris
Journal:  Neuroimage       Date:  2013-04-29       Impact factor: 6.556

10.  Coil combination for receive array spectroscopy: Are data-driven methods superior to methods using computed field maps?

Authors:  Christopher T Rodgers; Matthew D Robson
Journal:  Magn Reson Med       Date:  2015-03-28       Impact factor: 4.668

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  4 in total

1.  Reproducibility of 7-T brain spectroscopy using an ultrashort echo time STimulated Echo Acquisition Mode sequence and automated voxel repositioning.

Authors:  Meredith A Reid; Martha R Forloines; Nouha Salibi
Journal:  NMR Biomed       Date:  2021-10-08       Impact factor: 4.044

2.  Spectral Wavelet-feature Analysis and Classification Assisted Denoising for enhancing magnetic resonance spectroscopy.

Authors:  Bing Ji; Zahra Hosseini; Liya Wang; Lei Zhou; Xinhua Tu; Hui Mao
Journal:  NMR Biomed       Date:  2021-03-09       Impact factor: 4.044

3.  Selection and application of coils in temporomandibular joint MRI.

Authors:  Qi Sun; Min-Jun Dong; Xiao-Feng Tao; Meng-da Jiang; Chi Yang
Journal:  Dentomaxillofac Radiol       Date:  2019-09-27       Impact factor: 2.419

4.  Optimized truncation to integrate multi-channel MRS data using rank-R singular value decomposition.

Authors:  Dongsuk Sung; Benjamin B Risk; Maame Owusu-Ansah; Xiaodong Zhong; Hui Mao; Candace C Fleischer
Journal:  NMR Biomed       Date:  2020-04-06       Impact factor: 4.044

  4 in total

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