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Morphology enabled dipole inversion (MEDI) from a single‐angle acquisition: Comparison with COSMOS in human brain imaging
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cmr.b.10083openalex-snapshot
A fast calculation method for magnetic field inhomogeneity due to an arbitrary distribution of bulk susceptibility
inferredcites →https://doi.org/10.1002/cmr.b.20034openalex-snapshot
Application of a Fourier-based method for rapid calculation of field inhomogeneity due to spatial variation of magnetic susceptibility
inferredcites →https://doi.org/10.1002/mrm.20054openalex-snapshot
Quantifying arbitrary magnetic susceptibility distributions with MR
inferredcites →https://doi.org/10.1002/mrm.20892openalex-snapshot
MR susceptometry for measuring global brain oxygen extraction
inferredcites →https://doi.org/10.1002/mrm.21391openalex-snapshot
Sparse MRI: The application of compressed sensing for rapid MR imaging
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.21828openalex-snapshot
Calculation of susceptibility through multiple orientation sampling (COSMOS): A method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI
inferredcites →https://doi.org/10.1002/mrm.22135openalex-snapshot
Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data
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.22334openalex-snapshot
Susceptibility mapping in the human brain using threshold‐based k‐space division
inferredcites →https://doi.org/10.1006/nimg.1997.0290openalex-snapshot
Multimodal Image Coregistration and Partitioning—A Unified Framework
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/10.1038/nrn1537openalex-snapshot
Iron, brain ageing and neurodegenerative disorders
inferredcites →https://doi.org/10.1073/pnas.0904899106openalex-snapshot
Biophysical mechanisms of phase contrast in gradient echo MRI
inferredcites →https://doi.org/10.1073/pnas.0910222107openalex-snapshot
Sensitivity of MRI resonance frequency to the orientation of brain tissue microstructure
inferredcites →https://doi.org/10.1088/0031-9155/51/24/007openalex-snapshot
Rapid calculations of susceptibility-induced magnetostatic field perturbations forin vivomagnetic resonance
inferredcites →https://doi.org/10.1109/tmi.2009.2023787openalex-snapshot
Nonlinear Regularization for Per Voxel Estimation of Magnetic Susceptibility Distributions From MRI Field Maps
inferredcites →https://doi.org/10.1137/0917016openalex-snapshot
Iterative Methods for Total Variation Denoising
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4825250openalex-extracted
Exploring the Link between Brain Iron Accumulation, Cognitive Performance, and Dietary Intake in Older Adults: A Longitudinal MRI Study
inferred← citeshttps://doi.org/10.1002/hbm.70136openalex-snapshot
χ ‐sepnet: Deep Neural Network for Magnetic Susceptibility Source Separation
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Subcortical gray matter segmentation and voxel‐based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis
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Quantitative Susceptibility Mapping of Intracerebral Hemorrhages at Various Stages
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Quantitative assessment of gadolinium deposition in dentate nucleus using quantitative susceptibility mapping
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Imaging of nigrosome 1 in substantia nigra at 3T using multiecho susceptibility map‐weighted imaging (SMWI)
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Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care
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Quantitative susceptibility map analysis in preterm neonates with germinal matrix‐intraventricular hemorrhage
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Quantification of 89Zr‐Iron oxide nanoparticle biodistribution using PET‐MR and ultrashort TE sequences
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Improvement of reproducibility in quantitative susceptibility mapping (QSM) and transverse relaxation rates () after physiological noise correction
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Phantom validation of quantitative susceptibility and dynamic contrast‐enhanced permeability MR sequences across instruments and sites
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Quantitative Susceptibility Mapping: Technical Considerations and Clinical Applications in Neuroimaging
inferred← citeshttps://doi.org/10.1002/jmri.27103openalex-snapshot
Data‐Driven Quantitative Susceptibility Mapping Using Loss Adaptive Dipole Inversion (LADI)
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Quantitative Susceptibility Mapping Using a Multispectral Autoregressive Moving Average Model to Assess Hepatic Iron Overload
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Quantitative Susceptibility Mapping for Staging Acute Cerebral Hemorrhages: Comparing the Conventional and Multiecho Complex Total Field Inversion magnetic resonance imaging MR Methods
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A preliminary attempt to visualize nigrosome 1 in the substantia nigra for Parkinson’s disease at 3T: An efficient susceptibility map‐weighted imaging (SMWI) with quantitative susceptibility mapping using deep neural network (QSMnet)
inferred← citeshttps://doi.org/10.1002/mp.14460openalex-snapshot
Technical Note: Optimization of quantitative susceptibility mapping by streaking artifact detection
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Reducing the object orientation dependence of susceptibility effects in gradient echo MRI through quantitative susceptibility mapping
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Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping
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Alias subtraction more efficient than conventional zero‐padding in the Fourier‐based calculation of the susceptibility induced perturbation of the magnetic field in MR
inferred← citeshttps://doi.org/10.1002/mrm.24384openalex-snapshot
Improving susceptibility mapping using a threshold‐based K‐space/image domain iterative reconstruction approach
inferred← citeshttps://doi.org/10.1002/mrm.24405openalex-snapshot
Toward online reconstruction of quantitative susceptibility maps: Superfast dipole inversion
inferred← citeshttps://doi.org/10.1002/mrm.24918openalex-snapshot
Quantitative oxygenation venography from MRI phase
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An iterative spherical mean value method for background field removal in MRI
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Fast quantitative susceptibility mapping with L1‐regularization and automatic parameter selection
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On the role of physiological fluctuations in quantitative gradient echo MRI: implications for GEPCI, QSM, and SWI
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Iron mapping using the temperature dependency of the magnetic susceptibility
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Quantitative susceptibility mapping using single-shot echo-planar imaging
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Mean magnetic susceptibility regularized susceptibility tensor imaging ( MMSR ‐ STI ) for estimating orientations of white matter fibers in human brain
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Joint estimation of chemical shift and quantitative susceptibility mapping (chemical QSM)
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Wave‐CAIPI for highly accelerated 3D imaging
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Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker
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Quantitative susceptibility mapping in the abdomen as an imaging biomarker of hepatic iron overload
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Susceptibility‐based positive contrast MRI of brachytherapy seeds
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Quantitative mapping of cerebral metabolic rate of oxygen (CMRO2) using quantitative susceptibility mapping (QSM)
inferred← citeshttps://doi.org/10.1002/mrm.25652openalex-snapshot
Enhancing k‐space quantitative susceptibility mapping by enforcing consistency on the cone data (CCD) with structural priors
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Quantitative susceptibility mapping using single-shot echo-planar imaging
inferred← citeshttps://doi.org/10.1002/mrm.25869openalex-snapshot
Simultaneous quantitative mapping of conductivity and susceptibility using a double‐echo ultrashort echo time sequence: Example using a hematoma evolution study
inferred← citeshttps://doi.org/10.1002/mrm.25872openalex-snapshot
3D interslab echo‐shifted FLASH sequence for susceptibility weighted imaging
inferred← citeshttps://doi.org/10.1002/mrm.25919openalex-snapshot
Quantitative susceptibility mapping using a superposed dipole inversion method: Application to intracranial hemorrhage
inferred← citeshttps://doi.org/10.1002/mrm.26035openalex-snapshot
A quantitative study of susceptibility and additional frequency shift of three common materials in MRI
inferred← citeshttps://doi.org/10.1002/mrm.26139openalex-snapshot
Investigating hyperoxic effects in the rat brain using quantitative susceptibility mapping based on MRI phase
inferred← citeshttps://doi.org/10.1002/mrm.26253openalex-snapshot
Cerebral metabolic rate of oxygen (CMRO 2 ) mapping with hyperventilation challenge using quantitative susceptibility mapping (QSM)
inferred← citeshttps://doi.org/10.1002/mrm.26281openalex-snapshot
Echo time‐dependent quantitative susceptibility mapping contains information on tissue properties
inferred← citeshttps://doi.org/10.1002/mrm.26313openalex-snapshot
Metallic implant geometry and susceptibility estimation using multispectral B0field maps
inferred← citeshttps://doi.org/10.1002/mrm.26331openalex-snapshot
Preconditioned total field inversion (TFI) method for quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1002/mrm.26358openalex-snapshot
MRI‐based quantitative susceptibility mapping (QSM) and R2* mapping of liver iron overload: Comparison with SQUID‐based biomagnetic liver susceptometry
inferred← citeshttps://doi.org/10.1002/mrm.26627openalex-snapshot
Primal‐dual and forward gradient implementation for quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1002/mrm.26657openalex-snapshot
Quantitative susceptibility mapping‐based cerebral metabolic rate of oxygen mapping with minimum local variance
inferred← citeshttps://doi.org/10.1002/mrm.27073openalex-snapshot
Fast nonlinear susceptibility inversion with variational regularization
inferred← citeshttps://doi.org/10.1002/mrm.27376openalex-snapshot
Multi‐echo GRE ‐based conductivity imaging using K alman phase estimation method
inferred← citeshttps://doi.org/10.1002/mrm.27492openalex-snapshot
Background field removal for susceptibility mapping of human brain with large susceptibility variations
inferred← citeshttps://doi.org/10.1002/mrm.27531openalex-snapshot
On the sensitivity of quantitative susceptibility mapping for measuring trabecular bone density
inferred← citeshttps://doi.org/10.1002/mrm.27791openalex-snapshot
Positive‐contrast susceptibility imaging based on first‐order primal‐dual optimization
inferred← citeshttps://doi.org/10.1002/mrm.27946openalex-snapshot
Sensitivity of quantitative relaxometry and susceptibility mapping to microscopic iron distribution
inferred← citeshttps://doi.org/10.1002/mrm.27976openalex-snapshot
Quantitative susceptibility map reconstruction using annihilating filter‐based low‐rank Hankel matrix approach
inferred← citeshttps://doi.org/10.1002/mrm.28151openalex-snapshot
Simultaneous MRI water‐fat separation and quantitative susceptibility mapping of carotid artery plaque pre‐ and post‐ultrasmall superparamagnetic iron oxide‐uptake
inferred← citeshttps://doi.org/10.1002/mrm.28502openalex-snapshot
Feasibility of QSM in the human placenta
inferred← citeshttps://doi.org/10.1002/mrm.28789openalex-snapshot
Optimization of quantitative susceptibility mapping for regional estimation of oxygen extraction fraction in the brain
inferred← citeshttps://doi.org/10.1002/mrm.28841openalex-snapshot
Multi‐echo gradient‐recalled‐echo phase unwrapping using a Nyquist sampled virtual echo train in the presence of high‐field gradients
inferred← citeshttps://doi.org/10.1002/mrm.28903openalex-snapshot
Preconditioned water‐fat total field inversion: Application to spine quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1002/mrm.28955openalex-snapshot
Magnetic susceptibility and R2* of myocardial reperfusion injury at 3T and 7T
inferred← citeshttps://doi.org/10.1002/mrm.28995openalex-snapshot
Rapid simultaneous acquisition of macromolecular tissue volume, susceptibility, and relaxometry maps
inferred← citeshttps://doi.org/10.1002/mrm.29013openalex-snapshot
Recovering SWI‐filtered phase data using deep learning
inferred← citeshttps://doi.org/10.1002/mrm.29048openalex-snapshot
QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1002/mrm.29191openalex-snapshot
Susceptibility artifact correction in MR thermometry for monitoring of mild radiofrequency hyperthermia using total field inversion
inferred← citeshttps://doi.org/10.1002/mrm.29529openalex-snapshot
Validation of liver quantitative susceptibility mapping across imaging parameters at 1.5 T and 3.0 T using SQUID susceptometry as reference
inferred← citeshttps://doi.org/10.1002/mrm.29597openalex-snapshot
Toward a realistic in silico abdominal phantom for QSM
inferred← citeshttps://doi.org/10.1002/mrm.29627openalex-snapshot
To mask or not to mask? Investigating the impact of accounting for spatial frequency distributions and susceptibility sources on QSM quality
inferred← citeshttps://doi.org/10.1002/mrm.29644openalex-snapshot
Data adaptive regularization with reference tissue constraints for liver quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1002/mrm.29694openalex-snapshot
Robust breast quantitative susceptibility mapping in the presence of silicone
inferred← citeshttps://doi.org/10.1002/mrm.29963openalex-snapshot
Maximum spherical mean value filtering for whole‐brain QSM
inferred← citeshttps://doi.org/10.1002/mrm.29964openalex-snapshot
A predictor–corrector phase unwrapping algorithm for temporally undersampled gradient‐echo MRI
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.30271openalex-snapshot
XSIM : A structural similarity index measure optimized for MRI QSM
inferred← citeshttps://doi.org/10.1002/mrm.30493openalex-snapshot
Simultaneous 3D quantitative magnetization transfer imaging and susceptibility mapping
inferred← citeshttps://doi.org/10.1002/mrm.30571openalex-snapshot
Quantitative susceptibility mapping in the human brain at 7T with phase‐cycled balanced SSFP
inferred← citeshttps://doi.org/10.1002/mrm.70358openalex-snapshot
Advancing Quantitative Susceptibility Mapping With 2.5D Diffusion Models for Rapid Intracranial Hemorrhage Quantification
inferred← citeshttps://doi.org/10.1002/mrm.70433openalex-snapshot
Single‐Shot 2D Radial Echo Planar Imaging for Functional MRI
inferred← citeshttps://doi.org/10.1002/nbm.3056openalex-snapshot
Integrated Laplacian‐based phase unwrapping and background phase removal for quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1002/nbm.3064openalex-snapshot
Background field removal by solving the Laplacian boundary value problem
inferred← citeshttps://doi.org/10.1002/nbm.3478openalex-snapshot
Rapid brain MRI acquisition techniques at ultra‐high fields
inferred← citeshttps://doi.org/10.1002/nbm.3491openalex-snapshot
Reproducibility of R2* and quantitative susceptibility mapping (QSM) reconstruction methods in the basal ganglia of healthy subjects
inferred← citeshttps://doi.org/10.1002/nbm.3536openalex-snapshot
Spatiotemporal changes in diffusion, T2 and susceptibility of white matter following mild traumatic brain injury
inferred← citeshttps://doi.org/10.1002/nbm.3540openalex-snapshot
Susceptibility tensor imaging (STI) of the brain
inferred← citeshttps://doi.org/10.1002/nbm.3550openalex-snapshot
A comprehensive numerical analysis of background phase correction with V‐SHARP
inferred← citeshttps://doi.org/10.1002/nbm.3570openalex-snapshot
Single‐step quantitative susceptibility mapping with variational penalties
inferred← citeshttps://doi.org/10.1002/nbm.3668openalex-snapshot
The clinical utility of QSM: disease diagnosis, medical management, and surgical planning
inferred← citeshttps://doi.org/10.1002/nbm.3766openalex-snapshot
Simultaneous MR quantification of hepatic fat content, fatty acid composition, transverse relaxation time and magnetic susceptibility for the diagnosis of non‐alcoholic steatohepatitis
inferred← citeshttps://doi.org/10.1002/nbm.3999openalex-snapshot
Quantitative susceptibility mapping (QSM) with an extended physical model for MRI frequency contrast in the brain: a proof‐of‐concept of quantitative susceptibility and residual (QUASAR) mapping
inferred← citeshttps://doi.org/10.1002/nbm.4271openalex-snapshot
Nonlinear dipole inversion (NDI) enables robust quantitative susceptibility mapping (QSM)
inferred← citeshttps://doi.org/10.1002/nbm.4292openalex-snapshot
Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities
inferred← citeshttps://doi.org/10.1002/nbm.4382openalex-snapshot
Improved depiction of subthalamic nucleus and globus pallidus internus with optimized high‐resolution quantitative susceptibility mapping at 7 T
inferred← citeshttps://doi.org/10.1002/nbm.4666openalex-snapshot
Comparison of quantitative susceptibility mapping methods on evaluating radiation‐induced cerebral microbleeds and basal ganglia at 3T and 7T
inferred← citeshttps://doi.org/10.1002/nbm.5055openalex-snapshot
Model resolution‐based deconvolution for improved quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1002/nbm.5079openalex-snapshot
Simultaneous time‐of‐flight MR angiography and quantitative susceptibility mapping with key time‐of‐flight features
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.5182openalex-snapshot
How to accurately quantify brain magnetic susceptibility in the context of Parkinson's disease: Validation on phantoms and healthy volunteers at 1.5 and 3 T
inferred← citeshttps://doi.org/10.1002/nbm.70225openalex-snapshot
Repeatability of Susceptibility Source Separation Methods in Human Brain: A Single‐Site Study at 3 T
inferred← citeshttps://doi.org/10.1002/nbm.70268openalex-snapshot
Optimized Quantitative Susceptibility Mapping at 7T MRI for Assessing Iron Deposition in Alzheimer's Disease
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Reducing Variability in Deep Gray Matter QSM Using Differential ROI Referencing: A Phantom and In Vivo Evaluation
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Susceptibility Weighted Imaging
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Learned Proximal Networks for Quantitative Susceptibility Mapping
inferred← citeshttps://doi.org/10.1007/978-3-030-59713-9_6openalex-snapshot
Joint Total Variation ESTATICS for Robust Multi-parameter Mapping
inferred← citeshttps://doi.org/10.1007/978-3-030-61598-7_5openalex-snapshot
Model-Based Learning for Quantitative Susceptibility Mapping
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Weakly-Supervised Learning for Single-Step Quantitative Susceptibility Mapping
inferred← citeshttps://doi.org/10.1007/978-3-642-38868-2_30openalex-snapshot
Retrospective Estimation of the Susceptibility Driven Field Map for Distortion Correction in Echo Planar Imaging
inferred← citeshttps://doi.org/10.1007/s00062-015-0432-9openalex-snapshot
Quantitative Susceptibility Mapping: Concepts and Applications
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T2-Pseudonormalization and Microstructural Characterization in Advanced Stages of Late-infantile Metachromatic Leukodystrophy
inferred← citeshttps://doi.org/10.1007/s00213-022-06301-7openalex-snapshot
Association between iron accumulation in the dorsal striatum and compulsive drinking in alcohol use disorder
inferred← citeshttps://doi.org/10.1007/s00330-022-08547-3openalex-snapshot
A diagnostic index based on quantitative susceptibility mapping and voxel-based morphometry may improve early diagnosis of Alzheimer’s disease
inferred← citeshttps://doi.org/10.1007/s00702-024-02856-1openalex-snapshot
High correlation of quantitative susceptibility mapping and echo intensity measurements of nigral iron overload in Parkinson’s disease
inferred← citeshttps://doi.org/10.1007/s10334-014-0470-3openalex-snapshot
Phase-corrected bipolar gradients in multi-echo gradient-echo sequences for quantitative susceptibility mapping
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A comparison of phase imaging and quantitative susceptibility mapping in the imaging of multiple sclerosis lesions at ultrahigh field
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Assessment of MRI contrast agent concentration by quantitative susceptibility mapping (QSM): application to estimation of cerebral blood volume during steady state
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Dynamic contrast-enhanced QSM for perfusion imaging: a systematic comparison of ΔR2*- and QSM-based contrast agent concentration time curves in blood and tissue
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Quantitative MRI of diffuse liver diseases: techniques and tissue-mimicking phantoms
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Addressing fatty tissue in quantitative susceptibility mapping of human knee cartilage
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An external reference to enable quantitative susceptibility mapping (QSM) in absolute terms: theoretical considerations, simulations, and experimental evaluation
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Quantitative susceptibility mapping reveals brain iron accumulation in minimal hepatic encephalopathy: associations with neurocognitive changes
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MR susceptibility imaging for detection of tumor-associated macrophages in glioblastoma
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Regional oxygen extraction fraction is higher in older adults with type 2 diabetes and obesity: associations with cognition and metabolic markers
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Is physical fitness associated with brain structure and function in Parkinson’s disease?
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Region-Specific Iron Measured by MRI as a Biomarker for Parkinson’s Disease
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Susceptibility-Based Neuroimaging: Standard Methods, Clinical Applications, and Future Directions
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Susceptibility-Weighted Imaging and Quantitative Susceptibility Mapping
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Iron Mapping Techniques and Applications
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Quantitative Susceptibility Mapping
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Quantitative Susceptibility-Mapping Reconstruction
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A framework for characterizing brain iron concentration in neurodegenerative disease using quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.acra.2020.10.027openalex-snapshot
Histogram Analysis of Quantitative Susceptibility Mapping for the Diagnosis of Parkinson's Disease
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Feasibility of an MRI-only workflow for postimplant dosimetry of low-dose-rate prostate brachytherapy: Transition from phantoms to patients
inferred← citeshttps://doi.org/10.1016/j.brainresbull.2024.111160openalex-snapshot
Structural and iron content changes in subcortical vascular mild cognitive impairment: a combined voxel-based morphometry and quantitative susceptibility mapping study
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108217openalex-snapshot
ACE-QSM: Accelerating quantitative susceptibility mapping acquisition using diffusion models by reducing repetition time
inferred← citeshttps://doi.org/10.1016/j.crad.2023.11.002openalex-snapshot
Changes in brain susceptibility in Wilson’s disease patients: a quantitative susceptibility mapping study
inferred← citeshttps://doi.org/10.1016/j.diii.2017.05.004openalex-snapshot
Diagnosis of intracranial calcification and hemorrhage in pediatric patients: Comparison of quantitative susceptibility mapping and phase images of susceptibility-weighted imaging
inferred← citeshttps://doi.org/10.1016/j.ejmp.2021.03.039openalex-snapshot
An interictal measurement of cerebral oxygen extraction fraction in MRI-negative refractory epilepsy using quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.ejmp.2021.07.015openalex-snapshot
A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry
inferred← citeshttps://doi.org/10.1016/j.ejrad.2021.109611openalex-snapshot
Susceptibility Weighted Imaging for evaluation of musculoskeletal lesions
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Test-retest analysis of cerebral oxygen extraction estimates in healthy volunteers: comparison of methods based on quantitative susceptibility mapping and dynamic susceptibility contrast magnetic resonance imaging
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1016/j.jmr.2022.107259openalex-snapshot
Influence of diffusion on transverse relaxation rates and phases of an ensemble of magnetic spheres
inferred← citeshttps://doi.org/10.1016/j.jmro.2023.100097openalex-snapshot
Evaluation of multi-channel phase reconstruction methods for quantitative susceptibility mapping on postmortem human brain
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2014.12.014openalex-snapshot
Intrinsic functional brain mapping in reconstructed 4D magnetic susceptibility (χ) data space
inferred← citeshttps://doi.org/10.1016/j.jneumeth.2016.01.007openalex-snapshot
Task-evoked brain functional magnetic susceptibility mapping by independent component analysis (ϿICA)
inferred← citeshttps://doi.org/10.1016/j.jocmr.2024.101000openalex-snapshot
Characterization of quantitative susceptibility mapping in the left ventricular myocardium
inferred← citeshttps://doi.org/10.1016/j.jocmr.2026.102707openalex-snapshot
An initial clinical evaluation of quantitative susceptibility mapping for quantitative characterization of intramyocardial hemorrhage
inferred← citeshttps://doi.org/10.1016/j.media.2018.11.004openalex-snapshot
Quality-based UnwRap of SUbdivided Large Arrays (URSULA) for high-resolution MRI data
inferred← citeshttps://doi.org/10.1016/j.media.2021.102149openalex-snapshot
Model-based multi-parameter mapping
inferred← citeshttps://doi.org/10.1016/j.media.2022.102477openalex-snapshot
Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization
inferred← citeshttps://doi.org/10.1016/j.media.2022.102700openalex-snapshot
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data
inferred← citeshttps://doi.org/10.1016/j.media.2025.103532openalex-snapshot
5D image reconstruction exploiting space-motion-echo sparsity for accelerated free-breathing quantitative liver MRI
inferred← citeshttps://doi.org/10.1016/j.mri.2015.11.004openalex-snapshot
Quantification of susceptibility change at high-concentrated SPIO-labeled target by characteristic phase gradient recognition
inferred← citeshttps://doi.org/10.1016/j.mri.2016.04.019openalex-snapshot
Background field removal technique using regularization enabled sophisticated harmonic artifact reduction for phase data with varying kernel sizes
inferred← citeshttps://doi.org/10.1016/j.mri.2016.08.020openalex-snapshot
On the influence of zero-padding on the nonlinear operations in Quantitative Susceptibility Mapping
inferred← citeshttps://doi.org/10.1016/j.mri.2017.05.002openalex-snapshot
Quantitative susceptibility mapping using principles of echo shifting with a train of observations sequence on 1.5 T MRI
inferred← citeshttps://doi.org/10.1016/j.mri.2017.06.005openalex-snapshot
High resolution myelin water imaging incorporating local tissue susceptibility analysis
inferred← citeshttps://doi.org/10.1016/j.mri.2018.04.004openalex-snapshot
A new discrete dipole kernel for quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.mri.2018.06.006openalex-snapshot
Background field removal technique based on non-regularized variable kernels sophisticated harmonic artifact reduction for phase data for quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.mri.2018.07.009openalex-snapshot
Removing unwanted background phase with a reference phantom for applications in susceptibility quantification
inferred← citeshttps://doi.org/10.1016/j.mri.2018.10.015openalex-snapshot
Susceptibility mapping of the dural sinuses and other superficial veins in the brain
inferred← citeshttps://doi.org/10.1016/j.mri.2019.04.006openalex-snapshot
Accelerated positive contrast MRI of interventional devices using parallel compressed sensing imaging
inferred← citeshttps://doi.org/10.1016/j.mri.2019.11.006openalex-snapshot
Quantitative susceptibility mapping of prostate with separate calculations for water and fat regions for reducing shading artifacts
inferred← citeshttps://doi.org/10.1016/j.mri.2020.04.018openalex-snapshot
Field strength influences on gradient recalled echo MRI signal compartment frequency shifts
inferred← citeshttps://doi.org/10.1016/j.mri.2023.04.003openalex-snapshot
Computed cancer magnetic susceptibility imaging (canχ): Computational inverse mappings of cancer MRI
inferred← citeshttps://doi.org/10.1016/j.mri.2024.03.023openalex-snapshot
Phase-sensitive deep reconstruction method for rapid multiparametric MR fingerprinting and quantitative susceptibility mapping in the brain
inferred← citeshttps://doi.org/10.1016/j.mri.2024.04.020openalex-snapshot
Chaos and COSMOS—Considerations on QSM methods with multiple and single orientations and effects from local anisotropy
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.mric.2020.09.002openalex-snapshot
High-resolution Structural Magnetic Resonance Imaging and Quantitative Susceptibility Mapping
inferred← citeshttps://doi.org/10.1016/j.nbd.2026.107461openalex-snapshot
Ex vivo T2*-weighted MRI and quantitative susceptibility mapping reflect spatial iron accumulation observed on histology in frontotemporal lobar degeneration
inferred← citeshttps://doi.org/10.1016/j.nbd.2026.107479openalex-snapshot
MRI mapping of nigrostriatal pathway degeneration in early-stage Parkinson's disease
inferred← citeshttps://doi.org/10.1016/j.neurad.2016.12.012openalex-snapshot
Validation of a quantitative susceptibility mapping acquisition and reconstruction pipeline using a new iron sucrose based MR susceptibility phantom
inferred← citeshttps://doi.org/10.1016/j.neurobiolaging.2021.06.016openalex-snapshot
Healthy dietary intake moderates the effects of age on brain iron concentration and working memory performance
inferred← citeshttps://doi.org/10.1016/j.neurobiolaging.2024.09.004openalex-snapshot
Lifestyle, biological, and genetic factors related to brain iron accumulation across adulthood
inferred← citeshttps://doi.org/10.1016/j.neurobiolaging.2024.10.006openalex-snapshot
Exploring the links among brain iron accumulation, cognitive performance, and dietary intake in older adults: A longitudinal MRI study
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2011.08.045openalex-snapshot
Susceptibility induced gray–white matter MRI contrast in the human brain
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2012.01.004openalex-snapshot
The future of susceptibility contrast for assessment of anatomy and function
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2012.04.042openalex-snapshot
Mapping magnetic susceptibility anisotropies of white matter in vivo in the human brain at 7T
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2012.05.049openalex-snapshot
Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2012.05.067openalex-snapshot
Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2012.12.050openalex-snapshot
Magnetic susceptibility anisotropy: Cylindrical symmetry from macroscopically ordered anisotropic molecules and accuracy of MRI measurements using few orientations
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2013.05.127openalex-snapshot
Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: Application to determine iron content in deep gray matter structures
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2014.11.010openalex-snapshot
Validation of quantitative susceptibility mapping with Perls' iron staining for subcortical gray matter
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2014.11.038openalex-snapshot
A modulated closed form solution for quantitative susceptibility mapping — A thorough evaluation and comparison to iterative methods based on edge prior knowledge
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2014.12.043openalex-snapshot
A method for estimating and removing streaking artifacts in quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2015.02.041openalex-snapshot
Fast quantitative susceptibility mapping using 3D EPI and total generalized variation
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2015.08.015openalex-snapshot
Rapid multi-orientation quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2015.10.090openalex-snapshot
Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2017.01.053openalex-snapshot
Exploring the origins of echo-time-dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2017.04.006openalex-snapshot
Pulse sequences and parallel imaging for high spatiotemporal resolution MRI at ultra-high field
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2017.08.003openalex-snapshot
Tissue magnetic susceptibility mapping as a marker of tau pathology in Alzheimer's disease
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2017.11.018openalex-snapshot
Rapid two-step dipole inversion for susceptibility mapping with sparsity priors
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2018.02.012openalex-snapshot
Single multi-echo GRE acquisition with short and long echo spacing for simultaneous quantitative mapping of fat fraction, B0 inhomogeneity, and susceptibility
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2018.06.030openalex-snapshot
Quantitative susceptibility mapping using deep neural network: QSMnet
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2018.06.036openalex-snapshot
Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2018.07.065openalex-snapshot
A robust multi-scale approach to quantitative susceptibility mapping
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