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The influence of spatial resolution on the spectral quality and quantification accuracy of whole-brain MRSI at 1.5T, 3T, 7T, and 9.4T

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The influence of spatial resolution on the spectral quality and quantification accuracy of whole-brain MRSI at 1.5T, 3T, 7T, and 9.4T. / Motyka, Stanislav; Moser, Philipp; Hingerl, Lukas; Hangel, Gilbert; Heckova, Eva; Strasser, Bernhard; Eckstein, Korbinian; Daniel Robinson, Simon; Poser, Benedikt A.; Gruber, Stephan; Trattnig, Siegfried; Bogner, Wolfgang.

In: Magnetic Resonance in Medicine, Vol. 82, No. 2, 2019, p. 551-565.

Research output: Contribution to journalArticleAcademicpeer-review

Harvard

Motyka, S, Moser, P, Hingerl, L, Hangel, G, Heckova, E, Strasser, B, Eckstein, K, Daniel Robinson, S, Poser, BA, Gruber, S, Trattnig, S & Bogner, W 2019, 'The influence of spatial resolution on the spectral quality and quantification accuracy of whole-brain MRSI at 1.5T, 3T, 7T, and 9.4T', Magnetic Resonance in Medicine, vol. 82, no. 2, pp. 551-565. https://doi.org/10.1002/mrm.27746

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Author

Motyka, Stanislav ; Moser, Philipp ; Hingerl, Lukas ; Hangel, Gilbert ; Heckova, Eva ; Strasser, Bernhard ; Eckstein, Korbinian ; Daniel Robinson, Simon ; Poser, Benedikt A. ; Gruber, Stephan ; Trattnig, Siegfried ; Bogner, Wolfgang. / The influence of spatial resolution on the spectral quality and quantification accuracy of whole-brain MRSI at 1.5T, 3T, 7T, and 9.4T. In: Magnetic Resonance in Medicine. 2019 ; Vol. 82, No. 2. pp. 551-565.

Bibtex

@article{4bc2adc0597a4ae68ec2389a72e514cc,
title = "The influence of spatial resolution on the spectral quality and quantification accuracy of whole-brain MRSI at 1.5T, 3T, 7T, and 9.4T",
abstract = "PURPOSE: Inhomogeneities in the static magnetic field (B0 ) deteriorate MRSI data quality by lowering the spectral resolution and SNR. MRSI with low spatial resolution is also prone to lipid bleeding. These problems are increasingly problematic at ultra-high fields. An approach to tackling these challenges independent of B0 -shim hardware is to increase the spatial resolution. Therefore, we investigated the effect of improved spatial resolution on spectral quality and quantification at 4 field strengths.METHODS: Whole-brain MRSI data was simulated for 3 spatial resolutions and 4 B0 s based on experimentally acquired MRI data and simulated free induction decay signals of metabolites and lipids. To compare the spectral quality and quantification, we derived SNR normalized to the voxel size (nSNR), linewidth and metabolite concentration ratios, their Cramer-Rao-lower-bounds (CRLBs), and the absolute percentage error (APE) of estimated concentrations compared to the gold standard for the whole-brain and 8 brain regions.RESULTS: At 7T, we found up to a 3.4-fold improved nSNR (in the frontal lobe) and a 2.8-fold reduced linewidth (in the temporal lobe) for 1 cm3 versus 0.25 cm3 resolution. This effect was much more pronounced at higher and less homogenous B0 (1.6-fold improved nSNR and 1.8-fold improved linewidth in the parietal lobe at 3T). This had direct implications for quantification: the volume of reliably quantified spectra increased with resolution by 1.2-fold and 1.5-fold (when thresholded by CRLBs or APE, respectively).CONCLUSION: MRSI data quality benefits from increased spatial resolution particularly at higher B0 , and leads to more reliable metabolite quantification. In conjunction with the development of better B0 shimming hardware, this will enable robust whole-brain MRSI at ultra-high field.",
keywords = "B-0 field dependency, B-0 inhomogeneities, BREAST-TISSUE, FIELD, H-1-NMR SPECTROSCOPY, IN-VIVO, MAGNETIC-RESONANCE-SPECTROSCOPY, MR spectroscopic imaging, ORIENTATION, PROTON, SNR, T-2 RELAXATION-TIMES, VOXEL SIZE, signal-to-noise, spectral resolution, voxel size",
author = "Stanislav Motyka and Philipp Moser and Lukas Hingerl and Gilbert Hangel and Eva Heckova and Bernhard Strasser and Korbinian Eckstein and {Daniel Robinson}, Simon and Poser, {Benedikt A.} and Stephan Gruber and Siegfried Trattnig and Wolfgang Bogner",
note = "{\circledC} 2019 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.",
year = "2019",
doi = "10.1002/mrm.27746",
language = "English",
volume = "82",
pages = "551--565",
journal = "Magnetic Resonance in Medicine",
issn = "0740-3194",
publisher = "Wiley",
number = "2",

}

RIS

TY - JOUR

T1 - The influence of spatial resolution on the spectral quality and quantification accuracy of whole-brain MRSI at 1.5T, 3T, 7T, and 9.4T

AU - Motyka, Stanislav

AU - Moser, Philipp

AU - Hingerl, Lukas

AU - Hangel, Gilbert

AU - Heckova, Eva

AU - Strasser, Bernhard

AU - Eckstein, Korbinian

AU - Daniel Robinson, Simon

AU - Poser, Benedikt A.

AU - Gruber, Stephan

AU - Trattnig, Siegfried

AU - Bogner, Wolfgang

N1 - © 2019 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.

PY - 2019

Y1 - 2019

N2 - PURPOSE: Inhomogeneities in the static magnetic field (B0 ) deteriorate MRSI data quality by lowering the spectral resolution and SNR. MRSI with low spatial resolution is also prone to lipid bleeding. These problems are increasingly problematic at ultra-high fields. An approach to tackling these challenges independent of B0 -shim hardware is to increase the spatial resolution. Therefore, we investigated the effect of improved spatial resolution on spectral quality and quantification at 4 field strengths.METHODS: Whole-brain MRSI data was simulated for 3 spatial resolutions and 4 B0 s based on experimentally acquired MRI data and simulated free induction decay signals of metabolites and lipids. To compare the spectral quality and quantification, we derived SNR normalized to the voxel size (nSNR), linewidth and metabolite concentration ratios, their Cramer-Rao-lower-bounds (CRLBs), and the absolute percentage error (APE) of estimated concentrations compared to the gold standard for the whole-brain and 8 brain regions.RESULTS: At 7T, we found up to a 3.4-fold improved nSNR (in the frontal lobe) and a 2.8-fold reduced linewidth (in the temporal lobe) for 1 cm3 versus 0.25 cm3 resolution. This effect was much more pronounced at higher and less homogenous B0 (1.6-fold improved nSNR and 1.8-fold improved linewidth in the parietal lobe at 3T). This had direct implications for quantification: the volume of reliably quantified spectra increased with resolution by 1.2-fold and 1.5-fold (when thresholded by CRLBs or APE, respectively).CONCLUSION: MRSI data quality benefits from increased spatial resolution particularly at higher B0 , and leads to more reliable metabolite quantification. In conjunction with the development of better B0 shimming hardware, this will enable robust whole-brain MRSI at ultra-high field.

AB - PURPOSE: Inhomogeneities in the static magnetic field (B0 ) deteriorate MRSI data quality by lowering the spectral resolution and SNR. MRSI with low spatial resolution is also prone to lipid bleeding. These problems are increasingly problematic at ultra-high fields. An approach to tackling these challenges independent of B0 -shim hardware is to increase the spatial resolution. Therefore, we investigated the effect of improved spatial resolution on spectral quality and quantification at 4 field strengths.METHODS: Whole-brain MRSI data was simulated for 3 spatial resolutions and 4 B0 s based on experimentally acquired MRI data and simulated free induction decay signals of metabolites and lipids. To compare the spectral quality and quantification, we derived SNR normalized to the voxel size (nSNR), linewidth and metabolite concentration ratios, their Cramer-Rao-lower-bounds (CRLBs), and the absolute percentage error (APE) of estimated concentrations compared to the gold standard for the whole-brain and 8 brain regions.RESULTS: At 7T, we found up to a 3.4-fold improved nSNR (in the frontal lobe) and a 2.8-fold reduced linewidth (in the temporal lobe) for 1 cm3 versus 0.25 cm3 resolution. This effect was much more pronounced at higher and less homogenous B0 (1.6-fold improved nSNR and 1.8-fold improved linewidth in the parietal lobe at 3T). This had direct implications for quantification: the volume of reliably quantified spectra increased with resolution by 1.2-fold and 1.5-fold (when thresholded by CRLBs or APE, respectively).CONCLUSION: MRSI data quality benefits from increased spatial resolution particularly at higher B0 , and leads to more reliable metabolite quantification. In conjunction with the development of better B0 shimming hardware, this will enable robust whole-brain MRSI at ultra-high field.

KW - B-0 field dependency

KW - B-0 inhomogeneities

KW - BREAST-TISSUE

KW - FIELD

KW - H-1-NMR SPECTROSCOPY

KW - IN-VIVO

KW - MAGNETIC-RESONANCE-SPECTROSCOPY

KW - MR spectroscopic imaging

KW - ORIENTATION

KW - PROTON

KW - SNR

KW - T-2 RELAXATION-TIMES

KW - VOXEL SIZE

KW - signal-to-noise

KW - spectral resolution

KW - voxel size

U2 - 10.1002/mrm.27746

DO - 10.1002/mrm.27746

M3 - Article

VL - 82

SP - 551

EP - 565

JO - Magnetic Resonance in Medicine

T2 - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

SN - 0740-3194

IS - 2

ER -