Phase‐based masking for quantitative susceptibility mapping of the human brain at 9.4T

Purpose To develop improved tissue masks for QSM. Methods Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase. Phase images at 3T and 9.4T...

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Published inMagnetic resonance in medicine Vol. 88; no. 5; pp. 2267 - 2276
Main Authors Hagberg, Gisela E., Eckstein, Korbinian, Tuzzi, Elisa, Zhou, Jiazheng, Robinson, Simon, Scheffler, Klaus
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.11.2022
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Online AccessGet full text
ISSN0740-3194
1522-2594
1522-2594
DOI10.1002/mrm.29368

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Abstract Purpose To develop improved tissue masks for QSM. Methods Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase. Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, PItoh, with between‐voxel phase differences less than π. MM, PG, and PB were compared with PItoh. QSM were generated from 3D multi‐echo gradient‐echo data acquired at 9.4T (21 subjects aged: 20‐56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age‐based iron concentrations. Results Close to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with PItoh, PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside PItoh. Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities. Conclusion Automatic, phase‐based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions.
AbstractList PurposeTo develop improved tissue masks for QSM.MethodsMasks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase.Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, PItoh, with between‐voxel phase differences less than π. MM, PG, and PB were compared with PItoh. QSM were generated from 3D multi‐echo gradient‐echo data acquired at 9.4T (21 subjects aged: 20‐56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age‐based iron concentrations.ResultsClose to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with PItoh, PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside PItoh.Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities.ConclusionAutomatic, phase‐based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions.
To develop improved tissue masks for QSM. Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase. Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, P , with between-voxel phase differences less than π. MM, PG, and PB were compared with P . QSM were generated from 3D multi-echo gradient-echo data acquired at 9.4T (21 subjects aged: 20-56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age-based iron concentrations. Close to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with P , PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside P Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities. Automatic, phase-based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions.
To develop improved tissue masks for QSM.PURPOSETo develop improved tissue masks for QSM.Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase. Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, PItoh , with between-voxel phase differences less than π. MM, PG, and PB were compared with PItoh . QSM were generated from 3D multi-echo gradient-echo data acquired at 9.4T (21 subjects aged: 20-56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age-based iron concentrations.METHODSMasks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase. Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, PItoh , with between-voxel phase differences less than π. MM, PG, and PB were compared with PItoh . QSM were generated from 3D multi-echo gradient-echo data acquired at 9.4T (21 subjects aged: 20-56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age-based iron concentrations.Close to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with PItoh , PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside PItoh. Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities.RESULTSClose to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with PItoh , PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside PItoh. Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities.Automatic, phase-based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions.CONCLUSIONAutomatic, phase-based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions.
Purpose To develop improved tissue masks for QSM. Methods Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase. Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, PItoh, with between‐voxel phase differences less than π. MM, PG, and PB were compared with PItoh. QSM were generated from 3D multi‐echo gradient‐echo data acquired at 9.4T (21 subjects aged: 20‐56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age‐based iron concentrations. Results Close to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with PItoh, PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside PItoh. Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities. Conclusion Automatic, phase‐based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions.
Author Tuzzi, Elisa
Hagberg, Gisela E.
Eckstein, Korbinian
Robinson, Simon
Zhou, Jiazheng
Scheffler, Klaus
AuthorAffiliation 1 Department for Biomedical Magnetic Resonance, University Hospital Tübingen, Tübingen, Germany
3 High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
2 Department of Neurology, Medical University of Graz, Graz, Austria
5 High Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
4 Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
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Issue 5
Keywords magnetic resonance imaging
QSM
MRI methods
magnetic susceptibility
tissue masking
Language English
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References 2002; 16
2002; 17
2009; 62
2013; 69
2021; 86
2006; 31
2015; 73
2000; 43
2015; 122
1995; 34
2015; 30
2015; 33
2014; 27
2019; 38
2011; 55
2011; 54
2015; 108
2011; 37
2013; 8
2007; 57
2016; 36
2019; 187
2018; 177
2017; 30
2010; 49
2019; 81
2002; 20
2020; 73
2010; 29
2017; 16
2013; 78
2018; 179
2017; 77
1982; 21
1991; 92
2003; 28
2017; 144
1958; 3
2021; 85
2014; 72
2014; 93
2014; 71
2008; 60
2019; 199
2017; 149
1994; 32
2019; 197
2018; 79
References_xml – volume: 32
  start-page: 330
  year: 1994
  end-page: 334
  article-title: Reconstructions of phase contrast, phased array multicoil data
  publication-title: Magn Reson Med
– volume: 20
  start-page: 413
  year: 2002
  end-page: 424
  article-title: Numerical calculations of the static magnetic field in three‐dimensional multi‐tissue models of the human head
  publication-title: Magn Reson Imaging
– volume: 93
  start-page: 95
  year: 2014
  end-page: 106
  article-title: Myelin and iron concentration in the human brain: a quantitative study of MRI contrast
  publication-title: Neuroimage
– volume: 16
  start-page: 564
  year: 2017
  end-page: 570
  article-title: Gadolinium deposition in the brain: summary of evidence and recommendations
  publication-title: Lancet Neurol
– volume: 79
  start-page: 2996
  year: 2018
  end-page: 3006
  article-title: Computationally efficient combination of multi‐channel phase data from multi‐echo acquisitions (ASPIRE)
  publication-title: Magn Reson Med
– volume: 187
  start-page: 77
  year: 2019
  end-page: 92
  article-title: Quantifying iron content in magnetic resonance imaging
  publication-title: Neuroimage
– volume: 43
  start-page: 682
  year: 2000
  end-page: 690
  article-title: Adaptive reconstruction of phased array MR imagery
  publication-title: Magn Reson Med
– volume: 33
  start-page: 1
  year: 2015
  end-page: 25
  article-title: Quantitative susceptibility mapping: current status and future directions
  publication-title: Magn Reson Imaging
– volume: 78
  start-page: 68
  year: 2013
  end-page: 74
– volume: 28
  start-page: 1194
  year: 2003
  end-page: 1196
  article-title: Fast phase unwrapping algorithm for interferometric applications
  publication-title: Opt Lett
– volume: 55
  start-page: 1645
  year: 2011
  end-page: 1656
  article-title: Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition
  publication-title: Neuroimage
– volume: 8
  year: 2013
  article-title: Quantitative susceptibility mapping differentiates between blood depositions and calcifications in patients with glioblastoma
  publication-title: PLoS One
– volume: 179
  start-page: 117
  year: 2018
  end-page: 133
  article-title: The influence of brain iron and myelin on magnetic susceptibility and effective transverse relaxation ‐ a biochemical and histological validation study
  publication-title: Neuroimage
– volume: 49
  start-page: 1271
  year: 2010
  end-page: 1281
  article-title: MP2RAGE, a self bias‐field corrected sequence for improved segmentation and T1‐mapping at high field
  publication-title: Neuroimage
– volume: 37
  start-page: 2657
  year: 2011
  article-title: Harmonic phase subtraction methods are prone to B1 background components
  publication-title: Proc Intl Soc Mag Reson Med 19
– volume: 62
  start-page: 1510
  year: 2009
  end-page: 1522
  article-title: Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data
  publication-title: Magn Reson Med
– volume: 149
  start-page: 98
  year: 2017
  end-page: 113
  article-title: Exploring the origins of echo‐time‐dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds
  publication-title: Neuroimage
– volume: 3
  start-page: 41
  year: 1958
  end-page: 51
  article-title: The effect of age on the non‐haemin iron in the human brain
  publication-title: J Neurochem
– volume: 73
  start-page: 1258
  year: 2015
  end-page: 1269
  article-title: Effects of white matter microstructure on phase and susceptibility maps
  publication-title: Magn Reson Med
– volume: 69
  start-page: 467
  year: 2013
  end-page: 476
  article-title: Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping
  publication-title: Magn Reson Med
– volume: 30
  year: 2017
  article-title: An illustrated comparison of processing methods for phase MRI and QSM: removal of background field contributions from sources outside the region of interest
  publication-title: NMR Biomed
– volume: 144
  start-page: 203
  year: 2017
  end-page: 216
  article-title: Whole brain MP2RAGE‐based mapping of the longitudinal relaxation time at 9.4T
  publication-title: Neuroimage
– volume: 108
  start-page: 111
  year: 2015
  end-page: 122
  article-title: A method for estimating and removing streaking artifacts in quantitative susceptibility mapping
  publication-title: Neuroimage
– volume: 92
  start-page: 126
  year: 1991
  end-page: 145
  article-title: A fast, iterative, partial‐fourier technique capable of local phase recovery
  publication-title: J Magn Reson
– volume: 177
  start-page: 117
  year: 2018
  end-page: 128
  article-title: In‐vivo quantitative structural imaging of the human midbrain and the superior colliculus at 9.4T
  publication-title: Neuroimage
– volume: 81
  start-page: 1833
  year: 2019
  end-page: 1848
  article-title: The effect of low resolution and coverage on the accuracy of susceptibility mapping
  publication-title: Magn Reson Med
– volume: 197
  start-page: 557
  year: 2019
  end-page: 564
  article-title: Echo‐time dependency of quantitative susceptibility mapping reproducibility at different magnetic field strengths
  publication-title: Neuroimage
– volume: 16
  start-page: 754
  year: 2002
  end-page: 764
  article-title: New robust 3‐D phase unwrapping algorithms: application to magnetic field mapping and undistorting echoplanar images
  publication-title: Neuroimage
– volume: 122
  start-page: 385
  year: 2015
  end-page: 398
  article-title: Age and sex related differences in subcortical brain iron concentrations among healthy adults
  publication-title: Neuroimage
– volume: 36
  start-page: 364
  year: 2016
  end-page: 374
  article-title: In vivo MRI mapping of brain iron deposition across the adult lifespan
  publication-title: J Neurosci
– volume: 27
  start-page: 312
  year: 2014
  end-page: 319
  article-title: Background field removal by solving the Laplacian boundary value problem
  publication-title: NMR Biomed
– volume: 73
  start-page: 1481
  year: 2020
  end-page: 1499
  article-title: Ultra‐high field MRI in Alzheimer's disease: effective transverse relaxation rate and quantitative susceptibility mapping of human brain in vivo and ex vivo compared to histology
  publication-title: J Alzheimers Dis
– volume: 79
  start-page: 1661
  year: 2018
  end-page: 1673
  article-title: Quantitative susceptibility mapping: report from the 2016 reconstruction challenge
  publication-title: Magn Reson Med
– volume: 72
  start-page: 80
  year: 2014
  end-page: 92
  article-title: A method for unwrapping highly wrapped multi‐echo phase images at very high field: UMPIRE
  publication-title: Magn Reson Med
– volume: 30
  start-page: 1009
  year: 2015
  end-page: 1016
  article-title: Increased brain iron deposition is a risk factor for brain atrophy in patients with haemodialysis: a combined study of quantitative susceptibility mapping and whole brain volume analysis
  publication-title: Metab Brain Dis
– volume: 60
  start-page: 1003
  year: 2008
  end-page: 1009
  article-title: Quantitative MR susceptibility mapping using piece‐wise constant regularized inversion of the magnetic field
  publication-title: Magn Reson Med
– volume: 17
  start-page: 143
  year: 2002
  end-page: 155
  article-title: Fast robust automated brain extraction
  publication-title: Hum Brain Mapp
– volume: 34
  start-page: 910
  year: 1995
  end-page: 914
  article-title: The rician distribution of noisy mri data
  publication-title: Magn Reson Med
– volume: 29
  start-page: 273
  year: 2010
  end-page: 281
  article-title: Nonlinear regularization for per voxel estimation of magnetic susceptibility distributions from MRI field maps
  publication-title: IEEE Trans Med Imaging
– volume: 30
  year: 2017
  article-title: A comprehensive numerical analysis of background phase correction with V‐SHARP
  publication-title: NMR Biomed
– volume: 199
  start-page: 440
  year: 2019
  end-page: 453
  article-title: Investigating the oxygenation of brain arteriovenous malformations using quantitative susceptibility mapping
  publication-title: Neuroimage
– volume: 71
  start-page: 1151
  year: 2014
  end-page: 1157
  article-title: Background field removal using spherical mean value filtering and Tikhonov regularization
  publication-title: Magn Reson Med
– volume: 71
  start-page: 870
  year: 2014
  end-page: 879
  article-title: A 16‐channel dual‐row transmit array in combination with a 31‐element receive array for human brain imaging at 9.4 T
  publication-title: Magn Reson Med
– volume: 79
  start-page: 3103
  year: 2018
  end-page: 3113
  article-title: Phase processing for quantitative susceptibility mapping of regions with large susceptibility and lack of signal
  publication-title: Magn Reson Med
– volume: 38
  start-page: 1347
  year: 2019
  end-page: 1357
  article-title: SEGUE: a speedy rEgion‐growing algorithm for unwrapping estimated phase
  publication-title: IEEE Trans Med Imaging
– volume: 54
  start-page: 2789
  year: 2011
  end-page: 2807
  article-title: Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism?
  publication-title: Neuroimage
– volume: 77
  start-page: 1946
  year: 2017
  end-page: 1958
  article-title: Echo time‐dependent quantitative susceptibility mapping contains information on tissue properties
  publication-title: Magn Reson Med
– volume: 81
  start-page: 1605
  year: 2019
  end-page: 1619
  article-title: Prospective motion correction improves high‐resolution quantitative susceptibility mapping at 7T
  publication-title: Magn Reson Med
– volume: 57
  start-page: 192
  year: 2007
  end-page: 200
  article-title: Actual flip‐angle imaging in the pulsed steady state: a method for rapid three‐dimensional mapping of the transmitted radiofrequency field
  publication-title: Magn Reson Med
– volume: 73
  start-page: 2185
  year: 2015
  end-page: 2194
  article-title: Susceptibility mapping of air, bone, and calcium in the head
  publication-title: Magn Reson Med
– volume: 85
  start-page: 2294
  year: 2021
  end-page: 2308
  article-title: Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO)
  publication-title: Magn Reson Med
– volume: 30
  year: 2017
  article-title: An illustrated comparison of processing methods for MR phase imaging and QSM: combining array coil signals and phase unwrapping
  publication-title: NMR Biomed
– volume: 21
  start-page: 2470
  year: 1982
  article-title: Analysis of the phase unwrapping algorithm
  publication-title: Appl Opt
– volume: 31
  start-page: 968
  year: 2006
  end-page: 980
  article-title: An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
  publication-title: Neuroimage
– volume: 86
  start-page: 526
  year: 2021
  end-page: 542
  article-title: QSM reconstruction challenge 2.0: a realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures
  publication-title: Magn Reson Med
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Snippet Purpose To develop improved tissue masks for QSM. Methods Masks including voxels at the brain surface were automatically generated from the magnitude alone...
To develop improved tissue masks for QSM. Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined...
PurposeTo develop improved tissue masks for QSM.MethodsMasks including voxels at the brain surface were automatically generated from the magnitude alone (MM)...
To develop improved tissue masks for QSM.PURPOSETo develop improved tissue masks for QSM.Masks including voxels at the brain surface were automatically...
SourceID pubmedcentral
proquest
pubmed
wiley
SourceType Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage 2267
SubjectTerms Adult
Algorithms
Brain
Brain - diagnostic imaging
Brain mapping
Brain Mapping - methods
Cavities
Data acquisition
Dipoles
Humans
Image Processing, Computer-Assisted - methods
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
magnetic susceptibility
Masking
Masks
Middle Aged
MRI methods
QSM
tissue masking
Young Adult
Title Phase‐based masking for quantitative susceptibility mapping of the human brain at 9.4T
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fmrm.29368
https://www.ncbi.nlm.nih.gov/pubmed/35754142
https://www.proquest.com/docview/2705807641
https://www.proquest.com/docview/2681442455
https://pubmed.ncbi.nlm.nih.gov/PMC7613679
Volume 88
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