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Susceptibility source separation from gradient echo data using magnitude decay modeling
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1522-2586(199904)9:4<531::aid-jmri4>3.0.co;2-lopenalex-snapshot
NMR relaxation times in the human brain at 3.0 tesla
inferredcites →https://doi.org/10.1002/(sici)1522-2594(199903)41:3<499::aid-mrm12>3.0.co;2-oopenalex-snapshot
Analytical model of susceptibility-induced MR signal dephasing: Effect of diffusion in a microvascular network
inferredcites →https://doi.org/10.1002/jmri.20244openalex-snapshot
Correlation of R2 with total iron concentration in the brains of rhesus monkeys
inferredcites →https://doi.org/10.1002/jmri.20489openalex-snapshot
R2 relaxometry with MRI for the quantification of tissue iron overload in β‐thalassemic patients
inferredcites →https://doi.org/10.1002/jmri.24943openalex-snapshot
Reproducibility of quantitative susceptibility mapping in the brain at two field strengths from two vendors
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Longitudinal change in magnetic susceptibility of new enhanced multiple sclerosis (MS) lesions measured on serial quantitative susceptibility mapping (QSM)
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Quantitative susceptibility mapping (QSM) minimizes interference from cellular pathology in R2* estimation of liver iron concentration
inferredcites →https://doi.org/10.1002/jmri.26927openalex-snapshot
Phantom validation of quantitative susceptibility and dynamic contrast‐enhanced permeability MR sequences across instruments and sites
inferredcites →https://doi.org/10.1002/mrm.1171openalex-snapshot
Quantitative model for the interecho time dependence of the CPMG relaxation rate in iron‐rich gray matter
inferredcites →https://doi.org/10.1002/mrm.1910310614openalex-snapshot
In vivo visualization of myelin water in brain by magnetic resonance
inferredcites →https://doi.org/10.1002/mrm.1910320610openalex-snapshot
Theory of NMR signal behavior in magnetically inhomogeneous tissues: The static dephasing regime
inferredcites →https://doi.org/10.1002/mrm.1910350304openalex-snapshot
Estimation of the iron concentration in excised gray matter by means of proton relaxation measurements
inferredcites →https://doi.org/10.1002/mrm.20946openalex-snapshot
High magnetic field water and metabolite proton T 1 and T 2 relaxation in rat brain in vivo
inferredcites →https://doi.org/10.1002/mrm.21409openalex-snapshot
Fast multislice mapping of the myelin water fraction using multicompartment analysis of T decay at 3T: A preliminary postmortem study
inferredcites →https://doi.org/10.1002/mrm.21710openalex-snapshot
Quantitative MR susceptibility mapping using piece‐wise constant regularized inversion of the magnetic field
inferredcites →https://doi.org/10.1002/mrm.22187openalex-snapshot
Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: Validation and application to brain imaging
inferredcites →https://doi.org/10.1002/mrm.24128openalex-snapshot
T2prep three‐dimensional spiral imaging with efficient whole brain coverage for myelin water quantification at 1.5 tesla
inferredcites →https://doi.org/10.1002/mrm.24272openalex-snapshot
Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping
inferredcites →https://doi.org/10.1002/mrm.24585openalex-snapshot
Voxel spread function method for correction of magnetic field inhomogeneity effects in quantitative gradient‐echo‐based MRI
inferredcites →https://doi.org/10.1002/mrm.25137openalex-snapshot
Algorithm for fast monoexponential fitting based on Auto‐Regression on Linear Operations (ARLO) of data
inferredcites →https://doi.org/10.1002/mrm.25358openalex-snapshot
Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker
inferredcites →https://doi.org/10.1002/mrm.25420openalex-snapshot
Quantitative susceptibility mapping (QSM) of white matter multiple sclerosis lesions: Interpreting positive susceptibility and the presence of iron
inferredcites →https://doi.org/10.1002/mrm.25877openalex-snapshot
Feasibility and reproducibility of whole brain myelin water mapping in 4 minutes using fast acquisition with spiral trajectory and adiabatic T2prep (FAST-T2) at 3T
inferredcites →https://doi.org/10.1002/mrm.26946openalex-snapshot
MEDI+0: Morphology enabled dipole inversion with automatic uniform cerebrospinal fluid zero reference for quantitative susceptibility mapping
inferredcites →https://doi.org/10.1002/mrm.27542openalex-snapshot
The effect of low resolution and coverage on the accuracy of susceptibility mapping
inferredcites →https://doi.org/10.1002/nbm.1670openalex-snapshot
A novel background field removal method for MRI using projection onto dipole fields (PDF)
inferredcites →https://doi.org/10.1002/nbm.3619openalex-snapshot
Structural and functional quantitative susceptibility mapping from standard fMRI studies
inferredcites →https://doi.org/10.1006/nimg.2002.1092openalex-snapshot
New Robust 3-D Phase Unwrapping Algorithms: Application to Magnetic Field Mapping and Undistorting Echoplanar Images
inferredcites →https://doi.org/10.1007/s00401-016-1636-zopenalex-snapshot
Slow expansion of multiple sclerosis iron rim lesions: pathology and 7 T magnetic resonance imaging
inferredcites →https://doi.org/10.1016/0730-725x(88)90133-6openalex-snapshot
The benefits of increasing spatial resolution as a means of reducing artifacts due to field inhomogeneities
inferredcites →https://doi.org/10.1016/j.jmr.2021.107033openalex-snapshot
On the separation of susceptibility sources in quantitative susceptibility mapping: Theory and phantom validation with an in vivo application to multiple sclerosis lesions of different age
inferredcites →https://doi.org/10.1016/j.mri.2014.09.004openalex-snapshot
Quantitative susceptibility mapping: current status and future directions
inferredcites →https://doi.org/10.1016/j.mri.2016.12.019openalex-snapshot
Rapid whole brain myelin water content mapping without an external water standard at 1.5 T
inferredcites →https://doi.org/10.1016/j.neuroimage.2011.08.082openalex-snapshot
Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map
inferredcites →https://doi.org/10.1016/j.neuroimage.2014.02.026openalex-snapshot
Myelin and iron concentration in the human brain: A quantitative study of MRI contrast
inferredcites →https://doi.org/10.1016/j.neuroimage.2015.03.081openalex-snapshot
Improved estimation of myelin water fraction using complex model fitting
inferredcites →https://doi.org/10.1016/j.neuroimage.2016.12.064openalex-snapshot
Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
inferredcites →https://doi.org/10.1016/j.neuroimage.2017.04.034openalex-snapshot
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
inferredcites →https://doi.org/10.1016/j.neuroimage.2019.03.068openalex-snapshot
Multi-branch convolutional neural network for multiple sclerosis lesion segmentation
inferredcites →https://doi.org/10.1016/j.neuroimage.2021.118371openalex-snapshot
χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain
inferredcites →https://doi.org/10.1016/j.neuroimage.2021.118477openalex-snapshot
Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data
inferredcites →https://doi.org/10.1016/j.nicl.2021.102854openalex-snapshot
ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentation
inferredcites →https://doi.org/10.1016/s1053-8119(02)91132-8openalex-snapshot
Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
inferredcites →https://doi.org/10.1038/ncomms13283openalex-snapshot
Monitoring peripheral nerve degeneration in ALS by label-free stimulated Raman scattering imaging
inferredcites →https://doi.org/10.1063/1.1731684openalex-snapshot
Proton Relaxation Times in Paramagnetic Solutions. Effects of Electron Spin Relaxation
inferredcites →https://doi.org/10.1093/brain/awab088openalex-snapshot
Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging
inferredcites →https://doi.org/10.1158/0008-5472.can-16-0270openalex-snapshot
Label-Free Neurosurgical Pathology with Stimulated Raman Imaging
inferredcites →https://doi.org/10.1161/circulationaha.104.504415openalex-snapshot
Cardiac Iron Determines Cardiac T2*, T2, and T1 in the Gerbil Model of Iron Cardiomyopathy
inferredcites →https://doi.org/10.1172/jci86198openalex-snapshot
Persistent 7-tesla phase rim predicts poor outcome in new multiple sclerosis patient lesions
inferredcites →https://doi.org/10.1177/1352458506070928openalex-snapshot
Myelin water imaging in multiple sclerosis: quantitative correlations with histopathology
inferredcites →https://doi.org/10.1371/journal.pone.0057573openalex-snapshot
Iron Is a Sensitive Biomarker for Inflammation in Multiple Sclerosis Lesions
inferredcites →https://doi.org/10.3174/ajnr.a0951openalex-snapshot
Age-Dependent Normal Values of T2* and T2′ in Brain Parenchyma
inferredcites →https://doi.org/10.3389/fimmu.2018.00255openalex-snapshot
Significance and In Vivo Detection of Iron-Laden Microglia in White Matter Multiple Sclerosis Lesions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Distinct regional vulnerability to Aβ and iron accumulation in post mortem AD brains
inferred← citeshttps://doi.org/10.1002/hbm.26487openalex-snapshot
Sub‐voxel quantitative susceptibility mapping for assessing whole‐brain magnetic susceptibility from ages 4 to 80
inferred← citeshttps://doi.org/10.1002/hbm.70136openalex-snapshot
χ ‐sepnet: Deep Neural Network for Magnetic Susceptibility Source Separation
inferred← citeshttps://doi.org/10.1002/jmri.70195openalex-snapshot
Editorial for “Mapping Intracellular Volume Fraction With Susceptibility Source Decomposition as a Marker for Tissue Cellularity”
inferred← citeshttps://doi.org/10.1002/jmri.70431openalex-snapshot
Association of Iron and Myelin Alterations in the Contralesional Dentate Nucleus and Thalamus With Functional Outcome in Acute Ischemic Stroke: A Susceptibility Source Separation Study
inferred← citeshttps://doi.org/10.1002/jmri.70488openalex-snapshot
Editorial for “Quantitative Susceptibility Mapping‐Based Characterization of Lesion Heterogeneity in Multiple Sclerosis”
inferred← citeshttps://doi.org/10.1002/jmri.70491openalex-snapshot
Quantitative Susceptibility Mapping‐Based Characterization of Lesion Heterogeneity in Multiple Sclerosis
inferred← citeshttps://doi.org/10.1002/mrm.30006openalex-snapshot
Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro‐magnetic tissue properties study group
inferred← citeshttps://doi.org/10.1002/mrm.30216openalex-snapshot
Rapid submillimeter QSM and R2* mapping using interleaved multishot 3D‐EPI at 7 and 3 Tesla
inferred← citeshttps://doi.org/10.1002/mrm.30369openalex-snapshot
Microstructure‐Informed Myelin Mapping ( MIMM ) from routine multi‐echo gradient echo data using multiscale physics modeling of iron and myelin effects and QSM
inferred← citeshttps://doi.org/10.1002/mrm.70034openalex-snapshot
Importance of R 2 accuracy in susceptibility source separation
inferred← citeshttps://doi.org/10.1002/mrm.70143openalex-snapshot
MIMOSA : Multi‐Parametric Imaging Using Multiple‐Echoes With Optimized Simultaneous Acquisition for Highly‐Efficient Quantitative MRI
inferred← citeshttps://doi.org/10.1002/mrm.70468openalex-snapshot
A Realistic In Silico Brain Phantom for Quantifying Susceptibility Anisotropy‐Induced Error in Susceptibility Separation
inferred← citeshttps://doi.org/10.1002/nbm.5167openalex-snapshot
Comparison between R2′‐based and R2*‐based χ‐separation methods: A clinical evaluation in individuals with multiple sclerosis
inferred← citeshttps://doi.org/10.1002/nbm.5226openalex-snapshot
A human brain atlas of χ ‐separation for normative iron and myelin distributions
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Characterizing diffusion‐controlled release of small‐molecules using quantitative MRI in view of applications to orthopedic infection
inferred← citeshttps://doi.org/10.1002/nbm.70349openalex-snapshot
Susceptibility Source Separation Unveils Paramagnetic and Diamagnetic Trajectories in Healthy Brains From 5 to 90 Years
inferred← citeshttps://doi.org/10.1002/nbm.70383openalex-snapshot
Quantifying the Diamagnetic and Paramagnetic Components of Beta‐Amyloid Plaques Using Decomposed Quantitative Susceptibility Mapping in Mouse Models of Alzheimer's Disease
inferred← citeshttps://doi.org/10.1007/s00234-024-03444-6openalex-snapshot
Iron changes within infarct tissue in ischemic stroke patients after successful reperfusion quantified using QSM
inferred← citeshttps://doi.org/10.1007/s00261-024-04243-6openalex-snapshot
Quantitative susceptibility mapping for detection of kidney stones, hemorrhage differentiation, and cyst classification in ADPKD
inferred← citeshttps://doi.org/10.1007/s00415-026-13655-xopenalex-snapshot
Longitudinal myelin MR imaging in patients with multiple sclerosis: a narrative review
inferred← citeshttps://doi.org/10.1007/s00415-026-14054-yopenalex-snapshot
Comparison of iron and myelin changes in U‑fiber regions of relapsing–remitting multiple sclerosis and neuromyelitis optica spectrum disorders
inferred← citeshttps://doi.org/10.1016/j.acra.2024.07.031openalex-snapshot
Atrophy-Independent and Dependent Iron and Myelin Changes in Deep Gray Matter of Multiple Sclerosis: A Longitudinal Study Using χ-Separation Imaging
inferred← citeshttps://doi.org/10.1016/j.acra.2024.12.031openalex-snapshot
Improving the Understanding of Iron and Myelin Changes in Patients with Multiple Sclerosis through χ-Separation Imaging
inferred← citeshttps://doi.org/10.1016/j.crad.2024.01.007openalex-snapshot
Evaluation of brain iron deposition in different cerebral arteries of acute ischaemic stroke patients using quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.mri.2026.110708openalex-snapshot
Magnetic susceptibility source separation (χ-separation) in quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.neurad.2026.101605openalex-snapshot
Spatial gradients of nigral magnetic susceptibility in de novo and medicated Parkinson’s disease
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2023.120058openalex-snapshot
Depth-wise profiles of iron and myelin in the cortex and white matter using χ-separation: A preliminary study
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2023.120068openalex-snapshot
Multimodal comparisons of QSM and PET in neurodegeneration and aging
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2023.120357openalex-snapshot
The diamagnetic component map from quantitative susceptibility mapping (QSM) source separation reveals pathological alteration in Alzheimer’s disease-driven neurodegeneration
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2024.120547openalex-snapshot
Neuroimaging of Parkinson's disease by quantitative susceptibility mapping
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Quantitative susceptibility mapping for susceptibility source separation with adaptive relaxometric constant estimation (QSM-ARCS) from solely gradient-echo data
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2025.121241openalex-snapshot
Potential separation of multiple system atrophy and Parkinson’s disease by susceptibility-derived components
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2025.121643openalex-snapshot
PI-uMSS: Prior information-based unsupervised magnetic source separation in quantitative susceptibility mapping
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Quantitative susceptibility mapping analyses of white matter in Parkinson's disease using susceptibility separation technique
inferred← citeshttps://doi.org/10.1038/s41531-025-01043-7openalex-snapshot
Paramagnetic susceptibility mapping better quantifies brain iron content in Parkinson’s disease with RBD
inferred← citeshttps://doi.org/10.1038/s41531-025-01223-5openalex-snapshot
Longitudinal insights from iron accumulation in motor system of prodromal and clinical Parkinson’s disease
inferred← citeshttps://doi.org/10.1093/braincomms/fcaf011openalex-snapshot
Quantitative susceptibility mapping is more sensitive and specific than phase imaging in detecting chronic active multiple sclerosis lesion rims: pathological validation
inferred← citeshttps://doi.org/10.1093/braincomms/fcaf104openalex-snapshot
Abnormalities of iron homeostasis and the dopaminergic system in Tourette syndrome revealed by 7T MRI and PET
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Rapid submillimeter QSM and R 2 * mapping using interleaved multi-shot 3D-EPI at 7 and 3 Tesla
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Quantifying the Impact of Ocrelizumab on Paramagnetic Rim Lesions in Multiple Sclerosis
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Observations of anisotropic paramagnetic and diamagnetic susceptibility in the primate brain
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Green’s Function Total Field Inversion for Quantitative Susceptibility Mapping
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Quantitative susceptibility mapping of the brain is associated with inflammatory changes in Alzheimer’s disease related areas
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Remyelination and its association with increased oxygen extraction fraction in acute multiple sclerosis lesions
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Subvoxel quantitative susceptibility mapping reveals distinct susceptibility patterns and clinical associations of juxtacortical paramagnetic rims in multiple sclerosis
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Perivascular fluid clearance links choroid plexus changes to cognitive performance in cerebral small vessel disease
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Technical Feasibility of Quantitative Susceptibility Mapping Radiomics for Predicting Deep Brain Stimulation Outcomes in Parkinson Disease
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A human brain atlas of chi-separation for normative iron and myelin distributions
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