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Maximum spherical mean value filtering for whole‐brain QSM
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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.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/jmri.25693openalex-snapshot
Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care
inferredcites →https://doi.org/10.1002/mrm.1910340618openalex-snapshot
The rician distribution of noisy mri data
inferredcites →https://doi.org/10.1002/mrm.20054openalex-snapshot
Quantifying arbitrary magnetic susceptibility distributions with MR
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/10.1002/mrm.22816openalex-snapshot
Morphology enabled dipole inversion (MEDI) from a single‐angle acquisition: Comparison with COSMOS in human brain imaging
inferredcites →https://doi.org/10.1002/mrm.24765openalex-snapshot
Background field removal using spherical mean value filtering and Tikhonov regularization
inferredcites →https://doi.org/10.1002/mrm.24998openalex-snapshot
An iterative spherical mean value method for background field removal in 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.25328openalex-snapshot
Joint estimation of chemical shift and quantitative susceptibility mapping (chemical QSM)
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.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.27073openalex-snapshot
Fast nonlinear susceptibility inversion with variational regularization
inferredcites →https://doi.org/10.1002/mrm.27492openalex-snapshot
Background field removal for susceptibility mapping of human brain with large susceptibility variations
inferredcites →https://doi.org/10.1002/mrm.28227openalex-snapshot
Quantitative susceptibility mapping of carotid plaques using nonlinear total field inversion: Initial experience in patients with significant carotid stenosis
inferredcites →https://doi.org/10.1002/mrm.28563openalex-snapshot
Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO)
inferredcites →https://doi.org/10.1002/mrm.29048openalex-snapshot
QSMxT: Robust masking and artifact reduction for quantitative 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.3064openalex-snapshot
Background field removal by solving the Laplacian boundary value problem
inferredcites →https://doi.org/10.1002/nbm.3383openalex-snapshot
Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range
inferredcites →https://doi.org/10.1002/nbm.3550openalex-snapshot
A comprehensive numerical analysis of background phase correction with V‐SHARP
inferredcites →https://doi.org/10.1002/nbm.3604openalex-snapshot
An illustrated comparison of processing methods for phase MRI and QSM: removal of background field contributions from sources outside the region of interest
inferredcites →https://doi.org/10.1007/978-3-540-72334-9_10openalex-snapshot
Green’s Theorem in Potential Theory
inferredcites →https://doi.org/10.1007/bfb0056195openalex-snapshot
Multiscale vessel enhancement filtering
inferredcites →https://doi.org/10.1016/j.isci.2020.101553openalex-snapshot
Spatially Adaptive Regularization in Total Field Inversion for Quantitative Susceptibility Mapping
inferredcites →https://doi.org/10.1016/j.neuroimage.2009.06.060openalex-snapshot
Accurate and robust brain image alignment using boundary-based registration
inferredcites →https://doi.org/10.1016/j.neuroimage.2010.10.070openalex-snapshot
Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: An approach to in vivo brain iron metabolism?
inferredcites →https://doi.org/10.1016/j.neuroimage.2010.11.088openalex-snapshot
Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition
inferredcites →https://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
inferredcites →https://doi.org/10.1016/j.neuroimage.2015.02.041openalex-snapshot
Fast quantitative susceptibility mapping using 3D EPI and total generalized variation
inferredcites →https://doi.org/10.1016/j.neuroimage.2018.07.065openalex-snapshot
A robust multi-scale approach to quantitative susceptibility mapping
inferredcites →https://doi.org/10.1016/j.neuroimage.2020.117611openalex-snapshot
SEPIA—Susceptibility mapping pipeline tool for phase images
inferredcites →https://doi.org/10.1016/s0896-6273(02)00569-xopenalex-snapshot
Whole Brain Segmentation
inferredcites →https://doi.org/10.1093/cercor/bhg087openalex-snapshot
Automatically Parcellating the Human Cerebral Cortex
inferredcites →https://doi.org/10.1109/42.906426openalex-snapshot
Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex
inferredcites →https://doi.org/10.1109/tbme.2017.2749298openalex-snapshot
Quantitative Susceptibility Mapping (QSM) Algorithms: Mathematical Rationale and Computational Implementations
inferredcites →https://doi.org/10.1109/tmi.2006.887364openalex-snapshot
Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops
inferredcites →https://doi.org/10.1111/jon.12923openalex-snapshot
Global cerebrospinal fluid as a zero‐reference regularization for brain quantitative susceptibility mapping
inferredcites →https://doi.org/10.1111/jon.12938openalex-snapshot
The central vein sign in multiple sclerosis lesions: Susceptibility relaxation optimization from a routine MRI multiecho gradient echo sequence
inferredcites →https://doi.org/10.1118/1.597854openalex-snapshot
The role of magnetic susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the first and second kinds
inferredcites →https://doi.org/10.1137/140957433openalex-snapshot
Inverse Problem in Quantitative Susceptibility Mapping
inferredcites →https://doi.org/10.1371/journal.pone.0081093openalex-snapshot
In Vivo Quantitative Susceptibility Mapping (QSM) in Alzheimer's Disease
inferredcites →https://doi.org/10.2214/ajr.14.13459openalex-snapshot
Quantitative Susceptibility Mapping of the Motor Cortex in Amyotrophic Lateral Sclerosis and Primary Lateral Sclerosis
inferredcites →https://doi.org/10.3174/ajnr.a4645openalex-snapshot
Lateral Asymmetry and Spatial Difference of Iron Deposition in the Substantia Nigra of Patients with Parkinson Disease Measured with Quantitative Susceptibility Mapping
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/jmri.70002openalex-snapshot
Editorial for “Association of Myelin Disruption and Iron Accumulation on MRI With Parkinson's Disease Severity”
inferred← citeshttps://doi.org/10.1016/j.nbd.2024.106549openalex-snapshot
Quantitative susceptibility mapping of multiple system atrophy and Parkinson's disease correlates with neurotransmitter reference maps
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2025.121499openalex-snapshot
Investigating the effect of masking and background field removal algorithms on the quality of QSM reconstructions using a realistic numerical head phantom
inferred← citeshttps://doi.org/10.1101/2024.12.26.24319663openalex-snapshot
Quantitative Susceptibility Mapping Radiomics with Label Noise Compensation for Predicting Deep Brain Stimulation Outcomes in Parkinson’s Disease
inferred← citeshttps://doi.org/10.1109/icicml67980.2025.11333565openalex-snapshot
Research on Filtering and Noise Reduction Algorithm for Images of Disease and Insect Leaves
inferred← citeshttps://doi.org/10.1109/tmi.2025.3639776openalex-snapshot
Green’s Function Total Field Inversion for Quantitative Susceptibility Mapping
inferred← citeshttps://doi.org/10.1177/09574565251319277openalex-snapshot
Extraction of compound fault features of rolling bearing based on robust local mean decomposition and Wiener filter
inferred← citeshttps://doi.org/10.1227/neu.0000000000003721openalex-snapshot
Technical Feasibility of Quantitative Susceptibility Mapping Radiomics for Predicting Deep Brain Stimulation Outcomes in Parkinson Disease
inferred← citeshttps://doi.org/10.3389/fmed.2026.1907567openalex-snapshot
Regularization via gradient attribution for multiple sclerosis lesion segmentation
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