Increasing the spatial resolution and sensitivity of magnetic resonance elastography by correcting for subject motion and susceptibility‐induced image distortions

Purpose To improve the resolution of elasticity maps by adapting motion and distortion correction methods for phase‐based magnetic resonance imaging (MRI) contrasts such as magnetic resonance elastography (MRE), a technique for measuring mechanical tissue properties in vivo. Materials and Methods MR...

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Published inJournal of magnetic resonance imaging Vol. 46; no. 1; pp. 134 - 141
Main Authors Fehlner, Andreas, Hirsch, Sebastian, Weygandt, Martin, Christophel, Thomas, Barnhill, Eric, Kadobianskyi, Mykola, Braun, Jürgen, Bernarding, Johannes, Lützkendorf, Ralf, Sack, Ingolf, Hetzer, Stefan
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Published United States Wiley Subscription Services, Inc 01.07.2017
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Abstract Purpose To improve the resolution of elasticity maps by adapting motion and distortion correction methods for phase‐based magnetic resonance imaging (MRI) contrasts such as magnetic resonance elastography (MRE), a technique for measuring mechanical tissue properties in vivo. Materials and Methods MRE data of the brain were acquired with echo‐planar imaging (EPI) at 3T (n = 14) and 7T (n = 18). Motion and distortion correction parameters were estimated using the magnitude images. The real and imaginary part of the complex MRE data were corrected separately and recombined. The width of the point‐spread function (PSF) and the position variability were calculated. The images were normalized to the Montreal Neurological Institute (MNI) anatomical template. The gray‐to‐white matter separability of the elasticity maps was tested. Results Motion correction sharpened the |G*| maps as demonstrated by a narrowing of the PSF by 0.78 ± 0.51 mm at 7T and 0.52 ± 0.63 mm at 3T. The amount of individual head motion during MRE acquisition correlated with the decrease in the width of the PSF at 7T (r = 0.53, P = 0.025) and at 3T (r = 0.69, P = 0.006) and with the increase of gray‐to‐white matter separability after motion correction at 7T (r = 0.64, P = 0.0039) and at 3T (r = 0.57, P = 0.0319). Improved spatial accuracy after distortion correction results in a significant increase in separability of gray and white matter stiffness (P = 0.0067), especially in inferior parts of the brain suffering from strong B0 inhomogeneities. Conclusion We demonstrate that our method leads to sharper images and higher spatial accuracy, raising the prospect of the investigation of smaller brain areas with increased sensitivity in studies using MRE. Level of Evidence: 1 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:134–141
AbstractList To improve the resolution of elasticity maps by adapting motion and distortion correction methods for phase-based magnetic resonance imaging (MRI) contrasts such as magnetic resonance elastography (MRE), a technique for measuring mechanical tissue properties in vivo.PURPOSETo improve the resolution of elasticity maps by adapting motion and distortion correction methods for phase-based magnetic resonance imaging (MRI) contrasts such as magnetic resonance elastography (MRE), a technique for measuring mechanical tissue properties in vivo.MRE data of the brain were acquired with echo-planar imaging (EPI) at 3T (n = 14) and 7T (n = 18). Motion and distortion correction parameters were estimated using the magnitude images. The real and imaginary part of the complex MRE data were corrected separately and recombined. The width of the point-spread function (PSF) and the position variability were calculated. The images were normalized to the Montreal Neurological Institute (MNI) anatomical template. The gray-to-white matter separability of the elasticity maps was tested.MATERIALS AND METHODSMRE data of the brain were acquired with echo-planar imaging (EPI) at 3T (n = 14) and 7T (n = 18). Motion and distortion correction parameters were estimated using the magnitude images. The real and imaginary part of the complex MRE data were corrected separately and recombined. The width of the point-spread function (PSF) and the position variability were calculated. The images were normalized to the Montreal Neurological Institute (MNI) anatomical template. The gray-to-white matter separability of the elasticity maps was tested.Motion correction sharpened the |G*| maps as demonstrated by a narrowing of the PSF by 0.78 ± 0.51 mm at 7T and 0.52 ± 0.63 mm at 3T. The amount of individual head motion during MRE acquisition correlated with the decrease in the width of the PSF at 7T (r = 0.53, P = 0.025) and at 3T (r = 0.69, P = 0.006) and with the increase of gray-to-white matter separability after motion correction at 7T (r = 0.64, P = 0.0039) and at 3T (r = 0.57, P = 0.0319). Improved spatial accuracy after distortion correction results in a significant increase in separability of gray and white matter stiffness (P = 0.0067), especially in inferior parts of the brain suffering from strong B0 inhomogeneities.RESULTSMotion correction sharpened the |G*| maps as demonstrated by a narrowing of the PSF by 0.78 ± 0.51 mm at 7T and 0.52 ± 0.63 mm at 3T. The amount of individual head motion during MRE acquisition correlated with the decrease in the width of the PSF at 7T (r = 0.53, P = 0.025) and at 3T (r = 0.69, P = 0.006) and with the increase of gray-to-white matter separability after motion correction at 7T (r = 0.64, P = 0.0039) and at 3T (r = 0.57, P = 0.0319). Improved spatial accuracy after distortion correction results in a significant increase in separability of gray and white matter stiffness (P = 0.0067), especially in inferior parts of the brain suffering from strong B0 inhomogeneities.We demonstrate that our method leads to sharper images and higher spatial accuracy, raising the prospect of the investigation of smaller brain areas with increased sensitivity in studies using MRE.CONCLUSIONWe demonstrate that our method leads to sharper images and higher spatial accuracy, raising the prospect of the investigation of smaller brain areas with increased sensitivity in studies using MRE.1 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:134-141.LEVEL OF EVIDENCE1 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:134-141.
Purpose To improve the resolution of elasticity maps by adapting motion and distortion correction methods for phase‐based magnetic resonance imaging (MRI) contrasts such as magnetic resonance elastography (MRE), a technique for measuring mechanical tissue properties in vivo. Materials and Methods MRE data of the brain were acquired with echo‐planar imaging (EPI) at 3T (n = 14) and 7T (n = 18). Motion and distortion correction parameters were estimated using the magnitude images. The real and imaginary part of the complex MRE data were corrected separately and recombined. The width of the point‐spread function (PSF) and the position variability were calculated. The images were normalized to the Montreal Neurological Institute (MNI) anatomical template. The gray‐to‐white matter separability of the elasticity maps was tested. Results Motion correction sharpened the |G*| maps as demonstrated by a narrowing of the PSF by 0.78 ± 0.51 mm at 7T and 0.52 ± 0.63 mm at 3T. The amount of individual head motion during MRE acquisition correlated with the decrease in the width of the PSF at 7T (r = 0.53, P = 0.025) and at 3T (r = 0.69, P = 0.006) and with the increase of gray‐to‐white matter separability after motion correction at 7T (r = 0.64, P = 0.0039) and at 3T (r = 0.57, P = 0.0319). Improved spatial accuracy after distortion correction results in a significant increase in separability of gray and white matter stiffness (P = 0.0067), especially in inferior parts of the brain suffering from strong B0 inhomogeneities. Conclusion We demonstrate that our method leads to sharper images and higher spatial accuracy, raising the prospect of the investigation of smaller brain areas with increased sensitivity in studies using MRE. Level of Evidence: 1 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:134–141
To improve the resolution of elasticity maps by adapting motion and distortion correction methods for phase-based magnetic resonance imaging (MRI) contrasts such as magnetic resonance elastography (MRE), a technique for measuring mechanical tissue properties in vivo. MRE data of the brain were acquired with echo-planar imaging (EPI) at 3T (n = 14) and 7T (n = 18). Motion and distortion correction parameters were estimated using the magnitude images. The real and imaginary part of the complex MRE data were corrected separately and recombined. The width of the point-spread function (PSF) and the position variability were calculated. The images were normalized to the Montreal Neurological Institute (MNI) anatomical template. The gray-to-white matter separability of the elasticity maps was tested. Motion correction sharpened the |G*| maps as demonstrated by a narrowing of the PSF by 0.78 ± 0.51 mm at 7T and 0.52 ± 0.63 mm at 3T. The amount of individual head motion during MRE acquisition correlated with the decrease in the width of the PSF at 7T (r = 0.53, P = 0.025) and at 3T (r = 0.69, P = 0.006) and with the increase of gray-to-white matter separability after motion correction at 7T (r = 0.64, P = 0.0039) and at 3T (r = 0.57, P = 0.0319). Improved spatial accuracy after distortion correction results in a significant increase in separability of gray and white matter stiffness (P = 0.0067), especially in inferior parts of the brain suffering from strong B inhomogeneities. We demonstrate that our method leads to sharper images and higher spatial accuracy, raising the prospect of the investigation of smaller brain areas with increased sensitivity in studies using MRE. 1 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:134-141.
Purpose To improve the resolution of elasticity maps by adapting motion and distortion correction methods for phase-based magnetic resonance imaging (MRI) contrasts such as magnetic resonance elastography (MRE), a technique for measuring mechanical tissue properties in vivo. Materials and Methods MRE data of the brain were acquired with echo-planar imaging (EPI) at 3T (n=14) and 7T (n=18). Motion and distortion correction parameters were estimated using the magnitude images. The real and imaginary part of the complex MRE data were corrected separately and recombined. The width of the point-spread function (PSF) and the position variability were calculated. The images were normalized to the Montreal Neurological Institute (MNI) anatomical template. The gray-to-white matter separability of the elasticity maps was tested. Results Motion correction sharpened the |G*| maps as demonstrated by a narrowing of the PSF by 0.78±0.51mm at 7T and 0.52±0.63 mm at 3T. The amount of individual head motion during MRE acquisition correlated with the decrease in the width of the PSF at 7T (r=0.53, P=0.025) and at 3T (r=0.69, P=0.006) and with the increase of gray-to-white matter separability after motion correction at 7T (r=0.64, P=0.0039) and at 3T (r=0.57, P=0.0319). Improved spatial accuracy after distortion correction results in a significant increase in separability of gray and white matter stiffness (P=0.0067), especially in inferior parts of the brain suffering from strong B0 inhomogeneities. Conclusion We demonstrate that our method leads to sharper images and higher spatial accuracy, raising the prospect of the investigation of smaller brain areas with increased sensitivity in studies using MRE. Level of Evidence: 1 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:134-141
Author Fehlner, Andreas
Barnhill, Eric
Hetzer, Stefan
Christophel, Thomas
Lützkendorf, Ralf
Hirsch, Sebastian
Braun, Jürgen
Kadobianskyi, Mykola
Weygandt, Martin
Bernarding, Johannes
Sack, Ingolf
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Keywords phase-based contrast
distortion correction
MR elastography
motion correction
multifrequency MRE
Language English
License 2016 International Society for Magnetic Resonance in Medicine.
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Snippet Purpose To improve the resolution of elasticity maps by adapting motion and distortion correction methods for phase‐based magnetic resonance imaging (MRI)...
To improve the resolution of elasticity maps by adapting motion and distortion correction methods for phase-based magnetic resonance imaging (MRI) contrasts...
Purpose To improve the resolution of elasticity maps by adapting motion and distortion correction methods for phase-based magnetic resonance imaging (MRI)...
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pubmed
wiley
SourceType Aggregation Database
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StartPage 134
SubjectTerms Adult
Brain
Brain - anatomy & histology
Distortion
distortion correction
Echo-Planar Imaging - methods
Elasticity
Elasticity Imaging Techniques - methods
Female
Head
Head movement
Humans
Image acquisition
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
In vivo methods and tests
Inhomogeneity
Magnetic permeability
Magnetic properties
Magnetic resonance imaging
Male
Middle Aged
Motion
motion correction
MR elastography
multifrequency MRE
Neuroimaging
NMR
Nuclear magnetic resonance
Parameter estimation
phase‐based contrast
Point spread functions
Reproducibility of Results
Resonance
Sensitivity
Sensitivity and Specificity
Spatial discrimination
Spatial resolution
Stiffness
Substantia alba
Title Increasing the spatial resolution and sensitivity of magnetic resonance elastography by correcting for subject motion and susceptibility‐induced image distortions
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjmri.25516
https://www.ncbi.nlm.nih.gov/pubmed/27764537
https://www.proquest.com/docview/1906853624
https://www.proquest.com/docview/1835502114
Volume 46
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