Quantifying cerebral microbleeds using quantitative susceptibility mapping from magnetization‐prepared rapid gradient‐echo

T1‐weighted magnetization‐prepared rapid gradient‐echo (MPRAGE) is commonly included in brain studies for structural imaging using magnitude images; however, its phase images can provide an opportunity to assess microbleed burden using quantitative susceptibility mapping (QSM). This potential applic...

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Published inNMR in biomedicine Vol. 37; no. 8; pp. e5139 - n/a
Main Authors Naji, Nashwan, Gee, Myrlene, Jickling, Glen C., Emery, Derek J., Saad, Feryal, McCreary, Cheryl R., Smith, Eric E., Camicioli, Richard, Wilman, Alan H.
Format Journal Article
LanguageEnglish
Published England Wiley Subscription Services, Inc 01.08.2024
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ISSN0952-3480
1099-1492
1099-1492
DOI10.1002/nbm.5139

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Abstract T1‐weighted magnetization‐prepared rapid gradient‐echo (MPRAGE) is commonly included in brain studies for structural imaging using magnitude images; however, its phase images can provide an opportunity to assess microbleed burden using quantitative susceptibility mapping (QSM). This potential application for MPRAGE‐based QSM was evaluated using in vivo and simulated measurements. Possible factors affecting image quality were also explored. Detection sensitivity was evaluated against standard multiecho gradient echo (MEGE) QSM using 3‐T in vivo data of 15 subjects with a combined total of 108 confirmed microbleeds. The two methods were compared based on the microbleed size and susceptibility measurements. In addition, simulations explored the detection sensitivity of MPRAGE‐QSM at different representative magnetic field strengths and echo times using microbleeds of different size, susceptibility, and location. Results showed that in vivo microbleeds appeared to be smaller (× 0.54) and of higher mean susceptibility (× 1.9) on MPRAGE‐QSM than on MEGE‐QSM, but total susceptibility estimates were in closer agreement (slope: 0.97, r2: 0.94), and detection sensitivity was comparable. In simulations, QSM at 1.5 T had a low contrast‐to‐noise ratio that obscured the detection of many microbleeds. Signal‐to‐noise ratio (SNR) levels at 3 T and above resulted in better contrast and increased detection. The detection rates for microbleeds of minimum one‐voxel diameter and 0.4‐ppm susceptibility were 0.55, 0.80, and 0.88 at SNR levels of 1.5, 3, and 7 T, respectively. Size and total susceptibility estimates were more consistent than mean susceptibility estimates, which showed size‐dependent underestimation. MPRAGE‐QSM provides an opportunity to detect and quantify the size and susceptibility of microbleeds of at least one‐voxel diameter at B0 of 3 T or higher with no additional time cost, when standard T2*‐weighted images are not available or have inadequate spatial resolution. The total susceptibility measure is more robust against sequence variations and might allow combining data from different protocols. Quantifying microbleeds' susceptibility and size using QSM derived from MPRAGE was evaluated using in vivo and simulated measurements, in comparison with standard multiecho QSM. Results showed that the detection sensitivity of MPRAGE‐QSM was comparable with standard QSM. MPRAGE‐QSM provides an opportunity to detect and quantify the size and susceptibility of microbleeds of at least one‐voxel diameter at B0 ≥ 3 T with no additional time cost, when standard T2*w images are not available or have inadequate spatial resolution.
AbstractList T1‐weighted magnetization‐prepared rapid gradient‐echo (MPRAGE) is commonly included in brain studies for structural imaging using magnitude images; however, its phase images can provide an opportunity to assess microbleed burden using quantitative susceptibility mapping (QSM). This potential application for MPRAGE‐based QSM was evaluated using in vivo and simulated measurements. Possible factors affecting image quality were also explored. Detection sensitivity was evaluated against standard multiecho gradient echo (MEGE) QSM using 3‐T in vivo data of 15 subjects with a combined total of 108 confirmed microbleeds. The two methods were compared based on the microbleed size and susceptibility measurements. In addition, simulations explored the detection sensitivity of MPRAGE‐QSM at different representative magnetic field strengths and echo times using microbleeds of different size, susceptibility, and location. Results showed that in vivo microbleeds appeared to be smaller (× 0.54) and of higher mean susceptibility (× 1.9) on MPRAGE‐QSM than on MEGE‐QSM, but total susceptibility estimates were in closer agreement (slope: 0.97, r 2 : 0.94), and detection sensitivity was comparable. In simulations, QSM at 1.5 T had a low contrast‐to‐noise ratio that obscured the detection of many microbleeds. Signal‐to‐noise ratio (SNR) levels at 3 T and above resulted in better contrast and increased detection. The detection rates for microbleeds of minimum one‐voxel diameter and 0.4‐ppm susceptibility were 0.55, 0.80, and 0.88 at SNR levels of 1.5, 3, and 7 T, respectively. Size and total susceptibility estimates were more consistent than mean susceptibility estimates, which showed size‐dependent underestimation. MPRAGE‐QSM provides an opportunity to detect and quantify the size and susceptibility of microbleeds of at least one‐voxel diameter at B 0  of 3 T or higher with no additional time cost, when standard T 2 *‐weighted images are not available or have inadequate spatial resolution. The total susceptibility measure is more robust against sequence variations and might allow combining data from different protocols.
T1-weighted magnetization-prepared rapid gradient-echo (MPRAGE) is commonly included in brain studies for structural imaging using magnitude images; however, its phase images can provide an opportunity to assess microbleed burden using quantitative susceptibility mapping (QSM). This potential application for MPRAGE-based QSM was evaluated using in vivo and simulated measurements. Possible factors affecting image quality were also explored. Detection sensitivity was evaluated against standard multiecho gradient echo (MEGE) QSM using 3-T in vivo data of 15 subjects with a combined total of 108 confirmed microbleeds. The two methods were compared based on the microbleed size and susceptibility measurements. In addition, simulations explored the detection sensitivity of MPRAGE-QSM at different representative magnetic field strengths and echo times using microbleeds of different size, susceptibility, and location. Results showed that in vivo microbleeds appeared to be smaller (× 0.54) and of higher mean susceptibility (× 1.9) on MPRAGE-QSM than on MEGE-QSM, but total susceptibility estimates were in closer agreement (slope: 0.97, r2: 0.94), and detection sensitivity was comparable. In simulations, QSM at 1.5 T had a low contrast-to-noise ratio that obscured the detection of many microbleeds. Signal-to-noise ratio (SNR) levels at 3 T and above resulted in better contrast and increased detection. The detection rates for microbleeds of minimum one-voxel diameter and 0.4-ppm susceptibility were 0.55, 0.80, and 0.88 at SNR levels of 1.5, 3, and 7 T, respectively. Size and total susceptibility estimates were more consistent than mean susceptibility estimates, which showed size-dependent underestimation. MPRAGE-QSM provides an opportunity to detect and quantify the size and susceptibility of microbleeds of at least one-voxel diameter at B0 of 3 T or higher with no additional time cost, when standard T2*-weighted images are not available or have inadequate spatial resolution. The total susceptibility measure is more robust against sequence variations and might allow combining data from different protocols.T1-weighted magnetization-prepared rapid gradient-echo (MPRAGE) is commonly included in brain studies for structural imaging using magnitude images; however, its phase images can provide an opportunity to assess microbleed burden using quantitative susceptibility mapping (QSM). This potential application for MPRAGE-based QSM was evaluated using in vivo and simulated measurements. Possible factors affecting image quality were also explored. Detection sensitivity was evaluated against standard multiecho gradient echo (MEGE) QSM using 3-T in vivo data of 15 subjects with a combined total of 108 confirmed microbleeds. The two methods were compared based on the microbleed size and susceptibility measurements. In addition, simulations explored the detection sensitivity of MPRAGE-QSM at different representative magnetic field strengths and echo times using microbleeds of different size, susceptibility, and location. Results showed that in vivo microbleeds appeared to be smaller (× 0.54) and of higher mean susceptibility (× 1.9) on MPRAGE-QSM than on MEGE-QSM, but total susceptibility estimates were in closer agreement (slope: 0.97, r2: 0.94), and detection sensitivity was comparable. In simulations, QSM at 1.5 T had a low contrast-to-noise ratio that obscured the detection of many microbleeds. Signal-to-noise ratio (SNR) levels at 3 T and above resulted in better contrast and increased detection. The detection rates for microbleeds of minimum one-voxel diameter and 0.4-ppm susceptibility were 0.55, 0.80, and 0.88 at SNR levels of 1.5, 3, and 7 T, respectively. Size and total susceptibility estimates were more consistent than mean susceptibility estimates, which showed size-dependent underestimation. MPRAGE-QSM provides an opportunity to detect and quantify the size and susceptibility of microbleeds of at least one-voxel diameter at B0 of 3 T or higher with no additional time cost, when standard T2*-weighted images are not available or have inadequate spatial resolution. The total susceptibility measure is more robust against sequence variations and might allow combining data from different protocols.
T1‐weighted magnetization‐prepared rapid gradient‐echo (MPRAGE) is commonly included in brain studies for structural imaging using magnitude images; however, its phase images can provide an opportunity to assess microbleed burden using quantitative susceptibility mapping (QSM). This potential application for MPRAGE‐based QSM was evaluated using in vivo and simulated measurements. Possible factors affecting image quality were also explored. Detection sensitivity was evaluated against standard multiecho gradient echo (MEGE) QSM using 3‐T in vivo data of 15 subjects with a combined total of 108 confirmed microbleeds. The two methods were compared based on the microbleed size and susceptibility measurements. In addition, simulations explored the detection sensitivity of MPRAGE‐QSM at different representative magnetic field strengths and echo times using microbleeds of different size, susceptibility, and location. Results showed that in vivo microbleeds appeared to be smaller (× 0.54) and of higher mean susceptibility (× 1.9) on MPRAGE‐QSM than on MEGE‐QSM, but total susceptibility estimates were in closer agreement (slope: 0.97, r2: 0.94), and detection sensitivity was comparable. In simulations, QSM at 1.5 T had a low contrast‐to‐noise ratio that obscured the detection of many microbleeds. Signal‐to‐noise ratio (SNR) levels at 3 T and above resulted in better contrast and increased detection. The detection rates for microbleeds of minimum one‐voxel diameter and 0.4‐ppm susceptibility were 0.55, 0.80, and 0.88 at SNR levels of 1.5, 3, and 7 T, respectively. Size and total susceptibility estimates were more consistent than mean susceptibility estimates, which showed size‐dependent underestimation. MPRAGE‐QSM provides an opportunity to detect and quantify the size and susceptibility of microbleeds of at least one‐voxel diameter at B0 of 3 T or higher with no additional time cost, when standard T2*‐weighted images are not available or have inadequate spatial resolution. The total susceptibility measure is more robust against sequence variations and might allow combining data from different protocols.
T1-weighted magnetization-prepared rapid gradient-echo (MPRAGE) is commonly included in brain studies for structural imaging using magnitude images; however, its phase images can provide an opportunity to assess microbleed burden using quantitative susceptibility mapping (QSM). This potential application for MPRAGE-based QSM was evaluated using in vivo and simulated measurements. Possible factors affecting image quality were also explored. Detection sensitivity was evaluated against standard multiecho gradient echo (MEGE) QSM using 3-T in vivo data of 15 subjects with a combined total of 108 confirmed microbleeds. The two methods were compared based on the microbleed size and susceptibility measurements. In addition, simulations explored the detection sensitivity of MPRAGE-QSM at different representative magnetic field strengths and echo times using microbleeds of different size, susceptibility, and location. Results showed that in vivo microbleeds appeared to be smaller (× 0.54) and of higher mean susceptibility (× 1.9) on MPRAGE-QSM than on MEGE-QSM, but total susceptibility estimates were in closer agreement (slope: 0.97, r : 0.94), and detection sensitivity was comparable. In simulations, QSM at 1.5 T had a low contrast-to-noise ratio that obscured the detection of many microbleeds. Signal-to-noise ratio (SNR) levels at 3 T and above resulted in better contrast and increased detection. The detection rates for microbleeds of minimum one-voxel diameter and 0.4-ppm susceptibility were 0.55, 0.80, and 0.88 at SNR levels of 1.5, 3, and 7 T, respectively. Size and total susceptibility estimates were more consistent than mean susceptibility estimates, which showed size-dependent underestimation. MPRAGE-QSM provides an opportunity to detect and quantify the size and susceptibility of microbleeds of at least one-voxel diameter at B  of 3 T or higher with no additional time cost, when standard T *-weighted images are not available or have inadequate spatial resolution. The total susceptibility measure is more robust against sequence variations and might allow combining data from different protocols.
T1‐weighted magnetization‐prepared rapid gradient‐echo (MPRAGE) is commonly included in brain studies for structural imaging using magnitude images; however, its phase images can provide an opportunity to assess microbleed burden using quantitative susceptibility mapping (QSM). This potential application for MPRAGE‐based QSM was evaluated using in vivo and simulated measurements. Possible factors affecting image quality were also explored. Detection sensitivity was evaluated against standard multiecho gradient echo (MEGE) QSM using 3‐T in vivo data of 15 subjects with a combined total of 108 confirmed microbleeds. The two methods were compared based on the microbleed size and susceptibility measurements. In addition, simulations explored the detection sensitivity of MPRAGE‐QSM at different representative magnetic field strengths and echo times using microbleeds of different size, susceptibility, and location. Results showed that in vivo microbleeds appeared to be smaller (× 0.54) and of higher mean susceptibility (× 1.9) on MPRAGE‐QSM than on MEGE‐QSM, but total susceptibility estimates were in closer agreement (slope: 0.97, r2: 0.94), and detection sensitivity was comparable. In simulations, QSM at 1.5 T had a low contrast‐to‐noise ratio that obscured the detection of many microbleeds. Signal‐to‐noise ratio (SNR) levels at 3 T and above resulted in better contrast and increased detection. The detection rates for microbleeds of minimum one‐voxel diameter and 0.4‐ppm susceptibility were 0.55, 0.80, and 0.88 at SNR levels of 1.5, 3, and 7 T, respectively. Size and total susceptibility estimates were more consistent than mean susceptibility estimates, which showed size‐dependent underestimation. MPRAGE‐QSM provides an opportunity to detect and quantify the size and susceptibility of microbleeds of at least one‐voxel diameter at B0 of 3 T or higher with no additional time cost, when standard T2*‐weighted images are not available or have inadequate spatial resolution. The total susceptibility measure is more robust against sequence variations and might allow combining data from different protocols. Quantifying microbleeds' susceptibility and size using QSM derived from MPRAGE was evaluated using in vivo and simulated measurements, in comparison with standard multiecho QSM. Results showed that the detection sensitivity of MPRAGE‐QSM was comparable with standard QSM. MPRAGE‐QSM provides an opportunity to detect and quantify the size and susceptibility of microbleeds of at least one‐voxel diameter at B0 ≥ 3 T with no additional time cost, when standard T2*w images are not available or have inadequate spatial resolution.
Author Naji, Nashwan
Smith, Eric E.
Wilman, Alan H.
Saad, Feryal
Emery, Derek J.
Camicioli, Richard
Jickling, Glen C.
McCreary, Cheryl R.
Gee, Myrlene
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Cites_doi 10.54294/uvnhin
10.1016/j.neuroimage.2017.01.053
10.1001/archneur.65.6.790
10.1002/hbm.24490
10.1002/nbm.3551
10.1371/journal.pone.0096899
10.1002/hbm.10062
10.1038/jcbfm.2011.118
10.1016/S1474‐4422(09)70013‐4
10.1371/journal.pone.0169265
10.1002/mrm.29800
10.3174/ajnr.A1355
10.1016/j.neuroimage.2011.09.015
10.1002/mrm.22745
10.1161/STROKEAHA.110.607184
10.1007/s10334‐008‐0104‐8
10.1002/nbm.3604
10.1007/s00234‐013‐1297‐8
10.1016/j.neuroimage.2009.10.002
10.1002/mrm.1910150308
10.1148/radiol.2015150160
10.1017/cjn.2019.27
10.1002/jmri.21049
10.1038/s41597‐021‐00923‐w
10.1017/CBO9780511974892
10.1093/neuonc/nov095
10.1148/radiol.11110251
10.1002/mrm.21122
10.1212/01.wnl.0000435291.49598.54
10.1002/mrm.22187
10.1016/j.neuroimage.2006.01.015
10.1002/hbm.22360
10.1002/mrm.28563
10.1016/j.acra.2008.01.013
10.1002/mrm.28226
10.1016/j.mri.2015.12.032
10.1002/9781118633953
10.1093/brain/awl387
10.1001/jamaneurol.2015.0174
10.1002/mrm.25029
10.1118/1.597854
10.1016/j.neuroimage.2010.11.088
10.3174/ajnr.A2450
10.1002/mrm.26475
10.1016/j.neuroimage.2021.118384
10.1002/mrm.27542
10.1002/mrm.25358
10.1016/j.exger.2012.06.008
10.1212/WNL.0b013e3181e396ea
10.1148/radiol.2481071158
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Issue 8
Keywords MPRAGE
3 T
QSM
microbleed
Language English
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2024 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.
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Notes Funding information
This study was supported by the Canadian Institutes of Health Research (CIHR), providing the salary of NN (PS 180473) and supporting the Canadian Consortium on Neurodegeneration in Aging (CCNA) and the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS‐ND) study (CNA‐137794, CNA‐163902, BDO‐148341). The Functional Assessment of Vascular Reactivity in Small Vessel Disease (FAVR) study was also supported by CIHR (FDN 154317) and Brain Canada Foundation.
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References 2002; 17
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2010; 63
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2007; 130
2008; 27
2017; 78
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2008; 65
2008; 21
2014; 9
2021; 85
2010; 74
2014; 56
1996; 23
2012; 62
2021; 8
2012; 262
2015; 17
2011
2020; 84
2011; 31
2008; 15
2011; 32
2008; 248
2007; 57
2009; 30
2010; 49
2019; 81
2019; 40
2019; 46
2017; 12
2011; 42
2019
2018
2009; 8
2013; 81
2014; 35
2014
2012; 47
2009; 2
2023; 90
2014; 72
2017; 149
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References_xml – year: 2011
– volume: 31
  start-page: 1116
  issue: 3
  year: 2006
  end-page: 1128
  article-title: User‐guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability
  publication-title: Neuroimage
– volume: 49
  start-page: 1271
  issue: 2
  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: 35
  start-page: 2698
  issue: 6
  year: 2014
  end-page: 2713
  article-title: Differential developmental trajectories of magnetic susceptibility in human brain gray and white matter over the lifespan
  publication-title: Hum Brain Mapp
– volume: 248
  start-page: 272
  issue: 1
  year: 2008
  end-page: 277
  article-title: Cerebral microbleeds: accelerated 3D T2*‐weighted GRE MR imaging versus conventional 2D T2*‐weighted GRE MR imaging for detection
  publication-title: Radiology
– volume: 81
  start-page: 1833
  issue: 3
  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: 17
  start-page: 143
  issue: 3
  year: 2002
  end-page: 155
  article-title: Fast robust automated brain extraction
  publication-title: Hum Brain Mapp
– volume: 30
  start-page: 338
  issue: 2
  year: 2009
  end-page: 343
  article-title: MR imaging detection of cerebral microbleeds: effect of susceptibility‐weighted imaging, section thickness, and field strength
  publication-title: Am J Neuroradiol
– volume: 40
  start-page: 1786
  issue: 6
  year: 2019
  end-page: 1798
  article-title: MP2RAGEME: T1, T2*, and QSM mapping in one sequence at 7 Tesla
  publication-title: Hum Brain Mapp
– volume: 65
  start-page: 790
  issue: 6
  year: 2008
  end-page: 795
  article-title: Microbleed topography, leukoaraiosis, and cognition in probable Alzheimer disease from the Sunnybrook dementia study
  publication-title: Arch Neurol
– volume: 21
  start-page: 121
  issue: 1
  year: 2008
  end-page: 130
  article-title: Water proton T1 measurements in brain tissue at 7, 3, and 1.5T using IR‐EPI, IR‐TSE, and MPRAGE: results and optimization
  publication-title: Magn Reson Mater Phys Biol Med
– volume: 8
  start-page: 1
  issue: 1
  year: 2021
  end-page: 13
  article-title: Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
  publication-title: Sci Data
– volume: 46
  start-page: 499
  issue: 5
  year: 2019
  end-page: 511
  article-title: The comprehensive assessment of neurodegeneration and dementia: Canadian cohort study
  publication-title: Can J Neurol Sci
– year: 2018
– volume: 262
  start-page: 269
  issue: 1
  year: 2012
  end-page: 278
  article-title: Cerebral microbleeds: burden assessment by using quantitative susceptibility mapping
  publication-title: Radiology
– volume: 17
  start-page: 1188
  issue: 9
  year: 2015
  end-page: 1198
  article-title: Consensus recommendations for a standardized brain tumor imaging protocol in clinical trials
  publication-title: Neuro Oncol
– year: 2014
– volume: 30
  issue: 4
  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: 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: 23
  start-page: 815
  issue: 6
  year: 1996
  end-page: 850
  article-title: The role of magnetic susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the first and second kinds
  publication-title: Med Phys
– volume: 72
  start-page: 1444
  issue: 5
  year: 2014
  end-page: 1459
  article-title: Fast quantitative susceptibility mapping with L1‐regularization and automatic parameter selection
  publication-title: Magn Reson Med
– volume: 278
  start-page: 536
  issue: 2
  year: 2016
  end-page: 545
  article-title: Imaging cerebral microhemorrhages in military service members with chronic traumatic brain injury
  publication-title: Radiology
– volume: 78
  start-page: 1080
  year: 2017
  end-page: 1086
  article-title: Susceptibility underestimation in a high‐susceptibility phantom: dependence on imaging resolution, magnitude contrast, and other parameters
  publication-title: Magn Reson Med
– volume: 240
  year: 2021
  article-title: Can 7T MPRAGE match MP2RAGE for gray‐white matter contrast?
  publication-title: Neuroimage
– volume: 55
  start-page: 1645
  issue: 4
  year: 2011
  end-page: 1656
  article-title: Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition
  publication-title: Neuroimage
– year: 2019
– volume: 62
  start-page: 782
  issue: 2
  year: 2012
  end-page: 790
  article-title: FSL
  publication-title: Neuroimage
– volume: 12
  issue: 1
  year: 2017
  article-title: Simultaneous quantitative MRI mapping of T 1, T2* and magnetic susceptibility with multi‐echo MP2RAGE
  publication-title: PLoS ONE
– volume: 31
  start-page: 2282
  issue: 12
  year: 2011
  end-page: 2292
  article-title: Detection of cerebral microbleeds with quantitative susceptibility mapping in the ArcAbeta mouse model of cerebral amyloidosis
  publication-title: J Cereb Blood Flow Metab
– volume: 27
  start-page: 685
  issue: 4
  year: 2008
  end-page: 691
  article-title: The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods
  publication-title: J Magn Reson Imaging
– volume: 42
  start-page: 656
  issue: 3
  year: 2011
  end-page: 661
  article-title: Incidence of cerebral microbleeds in the general population
  publication-title: Stroke
– volume: 15
  start-page: 895
  issue: 7
  year: 2008
  end-page: 900
  article-title: Detection of asymptomatic cerebral microbleeds: a comparative study at 1.5 and 3.0 T
  publication-title: Acad Radiol
– volume: 81
  start-page: 1659
  issue: 19
  year: 2013
  end-page: 1665
  article-title: Neurovascular decoupling is associated with severity of cerebral amyloid angiopathy
  publication-title: Neurology
– volume: 47
  start-page: 843
  issue: 11
  year: 2012
  end-page: 852
  article-title: Cerebral microbleed detection and mapping: principles, methodological aspects and rationale in vascular dementia
  publication-title: Exp Gerontol
– volume: 34
  start-page: 574
  issue: 4
  year: 2016
  end-page: 578
  article-title: Importance of extended spatial coverage for quantitative susceptibility mapping of iron‐rich deep gray matter
  publication-title: Magn Reson Imaging
– volume: 8
  start-page: 165
  issue: 2
  year: 2009
  end-page: 174
  article-title: Cerebral microbleeds: a guide to detection and interpretation
  publication-title: Lancet Neurol
– volume: 72
  start-page: 682
  issue: 6
  year: 2015
  end-page: 688
  article-title: Risk factors associated with incident cerebral microbleeds according to location in older people: the age, gene/environment susceptibility (AGES)–Reykjavik study
  publication-title: JAMA Neurol
– volume: 65
  start-page: 1592
  issue: 6
  year: 2011
  end-page: 1601
  article-title: Iron quantification of microbleeds in postmortem brain
  publication-title: Magn Reson Med
– volume: 84
  start-page: 1486
  issue: 3
  year: 2020
  end-page: 1500
  article-title: On the value of QSM from MPRAGE for segmenting and quantifying iron‐rich deep gray matter
  publication-title: Magn Reson Med
– volume: 57
  start-page: 308
  issue: 2
  year: 2007
  end-page: 318
  article-title: Magnetic field and tissue dependencies of human brain longitudinal 1H2O relaxation in vivo
  publication-title: Magn Reson Med
– volume: 74
  start-page: 1954
  issue: 24
  year: 2010
  end-page: 1960
  article-title: Incidence of cerebral microbleeds: a longitudinal study in a memory clinic population
  publication-title: Neurology
– volume: 56
  start-page: 91
  year: 2014
  end-page: 96
  article-title: Susceptibility‐weighted MR imaging of radiation therapy‐induced cerebral microbleeds in patients with glioma: a comparison between 3T and 7T
  publication-title: Neuroradiology
– volume: 2
  start-page: 1
  year: 2009
  end-page: 35
  article-title: Advanced normalization tools (ANTS)
  publication-title: Insight J
– volume: 73
  start-page: 82
  issue: 1
  year: 2015
  end-page: 101
  article-title: Quantitative susceptibility mapping (QSM): decoding MRI data for a tissue magnetic biomarker
  publication-title: Magn Reson Med
– volume: 63
  start-page: 194
  issue: 1
  year: 2010
  end-page: 206
  article-title: Quantitative susceptibility map reconstruction from MR phase data using Bayesian regularization: validation and application to brain imaging
  publication-title: Magn Reson Med
– volume: 32
  start-page: 1043
  issue: 6
  year: 2011
  end-page: 1049
  article-title: Cerebral microbleeds on MR imaging: comparison between 1.5 and 7T
  publication-title: Am J Neuroradiol
– volume: 90
  start-page: 2290
  issue: 6
  year: 2023
  end-page: 2305
  article-title: Thin slab quantitative susceptibility mapping
  publication-title: Magn Reson Med
– volume: 30
  issue: 4
  year: 2017
  article-title: Determination of detection sensitivity for cerebral microbleeds using susceptibility‐weighted imaging
  publication-title: NMR Biomed
– volume: 85
  start-page: 2294
  issue: 4
  year: 2021
  end-page: 2308
  article-title: Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO)
  publication-title: Magn Reson Med
– volume: 15
  start-page: 420
  year: 1990
  end-page: 437
  article-title: Signal‐to‐noise in phase angle reconstruction: dynamic range extension using phase reference offsets
  publication-title: Magn Reson Med
– volume: 9
  issue: 5
  year: 2014
  article-title: Optimizing the magnetization‐prepared rapid gradient‐echo (MP‐RAGE) sequence
  publication-title: PLoS ONE
– volume: 130
  start-page: 1988
  issue: 8
  year: 2007
  end-page: 2003
  article-title: Spontaneous brain microbleeds: systematic review, subgroup analyses and standards for study design and reporting
  publication-title: Brain
– ident: e_1_2_8_41_1
  doi: 10.54294/uvnhin
– ident: e_1_2_8_45_1
  doi: 10.1016/j.neuroimage.2017.01.053
– ident: e_1_2_8_5_1
  doi: 10.1001/archneur.65.6.790
– ident: e_1_2_8_52_1
  doi: 10.1002/hbm.24490
– ident: e_1_2_8_11_1
  doi: 10.1002/nbm.3551
– ident: e_1_2_8_25_1
  doi: 10.1371/journal.pone.0096899
– ident: e_1_2_8_36_1
  doi: 10.1002/hbm.10062
– ident: e_1_2_8_19_1
  doi: 10.1038/jcbfm.2011.118
– ident: e_1_2_8_3_1
  doi: 10.1016/S1474‐4422(09)70013‐4
– ident: e_1_2_8_51_1
  doi: 10.1371/journal.pone.0169265
– ident: e_1_2_8_49_1
  doi: 10.1002/mrm.29800
– ident: e_1_2_8_12_1
  doi: 10.3174/ajnr.A1355
– ident: e_1_2_8_30_1
  doi: 10.1016/j.neuroimage.2011.09.015
– ident: e_1_2_8_4_1
  doi: 10.1002/mrm.22745
– ident: e_1_2_8_7_1
  doi: 10.1161/STROKEAHA.110.607184
– ident: e_1_2_8_31_1
  doi: 10.1007/s10334‐008‐0104‐8
– ident: e_1_2_8_47_1
  doi: 10.1002/nbm.3604
– ident: e_1_2_8_14_1
  doi: 10.1007/s00234‐013‐1297‐8
– ident: e_1_2_8_50_1
  doi: 10.1016/j.neuroimage.2009.10.002
– ident: e_1_2_8_35_1
  doi: 10.1002/mrm.1910150308
– ident: e_1_2_8_53_1
  doi: 10.1148/radiol.2015150160
– ident: e_1_2_8_24_1
  doi: 10.1017/cjn.2019.27
– ident: e_1_2_8_27_1
  doi: 10.1002/jmri.21049
– ident: e_1_2_8_29_1
  doi: 10.1038/s41597‐021‐00923‐w
– ident: e_1_2_8_9_1
  doi: 10.1017/CBO9780511974892
– ident: e_1_2_8_26_1
  doi: 10.1093/neuonc/nov095
– ident: e_1_2_8_20_1
– ident: e_1_2_8_21_1
  doi: 10.1148/radiol.11110251
– ident: e_1_2_8_32_1
  doi: 10.1002/mrm.21122
– ident: e_1_2_8_23_1
  doi: 10.1212/01.wnl.0000435291.49598.54
– ident: e_1_2_8_17_1
  doi: 10.1002/mrm.22187
– ident: e_1_2_8_42_1
  doi: 10.1016/j.neuroimage.2006.01.015
– ident: e_1_2_8_33_1
  doi: 10.1002/hbm.22360
– ident: e_1_2_8_39_1
– ident: e_1_2_8_37_1
  doi: 10.1002/mrm.28563
– ident: e_1_2_8_13_1
  doi: 10.1016/j.acra.2008.01.013
– ident: e_1_2_8_22_1
  doi: 10.1002/mrm.28226
– ident: e_1_2_8_48_1
  doi: 10.1016/j.mri.2015.12.032
– ident: e_1_2_8_46_1
  doi: 10.1002/9781118633953
– ident: e_1_2_8_2_1
  doi: 10.1093/brain/awl387
– ident: e_1_2_8_8_1
  doi: 10.1001/jamaneurol.2015.0174
– ident: e_1_2_8_40_1
  doi: 10.1002/mrm.25029
– ident: e_1_2_8_34_1
  doi: 10.1118/1.597854
– ident: e_1_2_8_38_1
  doi: 10.1016/j.neuroimage.2010.11.088
– ident: e_1_2_8_15_1
  doi: 10.3174/ajnr.A2450
– ident: e_1_2_8_43_1
  doi: 10.1002/mrm.26475
– ident: e_1_2_8_28_1
  doi: 10.1016/j.neuroimage.2021.118384
– ident: e_1_2_8_44_1
  doi: 10.1002/mrm.27542
– ident: e_1_2_8_18_1
  doi: 10.1002/mrm.25358
– ident: e_1_2_8_10_1
  doi: 10.1016/j.exger.2012.06.008
– ident: e_1_2_8_6_1
  doi: 10.1212/WNL.0b013e3181e396ea
– ident: e_1_2_8_16_1
  doi: 10.1148/radiol.2481071158
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Snippet T1‐weighted magnetization‐prepared rapid gradient‐echo (MPRAGE) is commonly included in brain studies for structural imaging using magnitude images; however,...
T1-weighted magnetization-prepared rapid gradient-echo (MPRAGE) is commonly included in brain studies for structural imaging using magnitude images; however,...
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SubjectTerms 3 T
Adult
Aged
Brain mapping
Cerebral Hemorrhage - diagnostic imaging
Computer Simulation
Diameters
Estimates
Evaluation
Female
Humans
Image quality
In vivo methods and tests
Magnetic fields
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Magnetization
Male
Mapping
microbleed
Middle Aged
MPRAGE
Neuroimaging
QSM
Sensitivity analysis
Spatial data
Spatial discrimination
Spatial resolution
Susceptibility
Title Quantifying cerebral microbleeds using quantitative susceptibility mapping from magnetization‐prepared rapid gradient‐echo
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fnbm.5139
https://www.ncbi.nlm.nih.gov/pubmed/38465729
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