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An iterative spherical mean value method for background field removal in MRI
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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.22276openalex-snapshot
Susceptibility mapping as a means to visualize veins and quantify oxygen saturation
inferredcites →https://doi.org/10.1002/mrm.20054openalex-snapshot
Quantifying arbitrary magnetic susceptibility distributions with MR
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.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.23282openalex-snapshot
Investigating the magnetic susceptibility properties of fresh human blood for noninvasive oxygen saturation quantification
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/10.1007/bf02392874openalex-snapshot
Spectral synthesis in sobolev spaces, and uniqueness of solutions of the Dirichlet problem
inferredcites →https://doi.org/10.1016/j.mri.2010.06.011openalex-snapshot
Unambiguous identification of superparamagnetic iron oxide particles through quantitative susceptibility mapping of the nonlinear response to magnetic fields
inferredcites →https://doi.org/10.1016/j.neuroimage.2008.10.029openalex-snapshot
Susceptibility contrast in high field MRI of human brain as a function of tissue iron content
inferredcites →https://doi.org/10.1016/j.neuroimage.2009.02.023openalex-snapshot
On the origin of the MR image phase contrast: An in vivo MR microscopy study of the rat brain at 14.1 T
inferredcites →https://doi.org/10.1016/j.neuroimage.2010.06.070openalex-snapshot
Whole-brain susceptibility mapping at high field: A comparison of multiple- and single-orientation methods
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.2011.08.077openalex-snapshot
MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping
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.2012.05.049openalex-snapshot
Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study
inferredcites →https://doi.org/10.1016/j.neuroimage.2012.05.067openalex-snapshot
Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain
inferredcites →https://doi.org/10.1016/j.neuroimage.2012.09.055openalex-snapshot
Toward in vivo histology: A comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2⁎-imaging at ultra-high magnetic field strength
inferredcites →https://doi.org/10.1080/00029890.1980.11995163openalex-snapshot
A Strong Converse to Gauss's Mean-Value Theorem
inferredcites →https://doi.org/10.1109/iembs.2009.5335128openalex-snapshot
Magnetic source MRI: A new quantitative imaging of magnetic biomarkers
inferredcites →https://doi.org/10.1109/iembs.2010.5626123openalex-snapshot
Probing sepsis and sepsis-like conditions using untargeted SPIO nanoparticles
inferredcites →https://doi.org/10.1109/nebc.2002.999527openalex-snapshot
The general application of the spherical mean value method for image noise reduction
inferredcites →https://doi.org/10.1109/tmi.2011.2182523openalex-snapshot
Accuracy of the Morphology Enabled Dipole Inversion (MEDI) Algorithm for Quantitative Susceptibility Mapping in MRI
inferredcites →https://doi.org/10.1118/1.3002309openalex-snapshot
In vivo quantification of contrast agent concentration using the induced magnetic field for time‐resolved arterial input function measurement with MRI
inferredcites →https://doi.org/10.1148/radiol.11110251openalex-snapshot
Cerebral Microbleeds: Burden Assessment by Using Quantitative Susceptibility Mapping
inferredcites →https://doi.org/10.1371/journal.pone.0057924openalex-snapshot
Quantitative Susceptibility Mapping Differentiates between Blood Depositions and Calcifications in Patients with Glioblastoma
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/mrm.25358openalex-snapshot
Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker
inferred← citeshttps://doi.org/10.1002/mrm.26989openalex-snapshot
Phase processing for quantitative susceptibility mapping of regions with large susceptibility and lack of signal
inferred← citeshttps://doi.org/10.1002/mrm.27483openalex-snapshot
Weak‐harmonic regularization for quantitative susceptibility mapping
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.28227openalex-snapshot
Quantitative susceptibility mapping of carotid plaques using nonlinear total field inversion: Initial experience in patients with significant carotid stenosis
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.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/nbm.3064openalex-snapshot
Background field removal by solving the Laplacian boundary value problem
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.3569openalex-snapshot
Overview of quantitative susceptibility mapping
inferred← citeshttps://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
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.4271openalex-snapshot
Nonlinear dipole inversion (NDI) enables robust quantitative susceptibility mapping (QSM)
inferred← citeshttps://doi.org/10.1002/nbm.4517openalex-snapshot
Single‐step calculation of susceptibility through multiple orientation sampling
inferred← citeshttps://doi.org/10.1002/nbm.70057openalex-snapshot
An Optimized Framework of QSM Mask Generation Using Deep Learning: QSMmask‐Net
inferred← citeshttps://doi.org/10.1007/s10334-024-01158-7openalex-snapshot
Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1007/s11220-025-00542-4openalex-snapshot
A Novel iDAGUNet-Assisted QSM Method to Enhance Image Segmentation for Quantitative Assessment of Magnetic Hydrogel Evolution in Rat Vagus Nerve
inferred← citeshttps://doi.org/10.1016/j.gpeds.2023.100052openalex-snapshot
A short session of maternal hyperoxygenation ameliorates the cerebral oxygenation difference between fetuses with and without congenital heart defects
inferred← citeshttps://doi.org/10.1016/j.jmr.2017.05.004openalex-snapshot
Background field removal using a region adaptive kernel for quantitative susceptibility mapping of human brain
inferred← citeshttps://doi.org/10.1016/j.mri.2014.09.004openalex-snapshot
Quantitative susceptibility mapping: current status and future directions
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.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.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.2020.08.012openalex-snapshot
Decreasing iron susceptibility with temperature in quantitative susceptibility mapping: A phantom study
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2023.120381openalex-snapshot
Evaluation of whole-brain oxygen metabolism in Alzheimer's disease using QSM and quantitative BOLD
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/10.1016/j.nicl.2015.08.003openalex-snapshot
Detection and quantification of regional cortical gray matter damage in multiple sclerosis utilizing gradient echo MRI
inferred← citeshttps://doi.org/10.1016/j.zemedi.2015.10.002openalex-snapshot
Foundations of MRI phase imaging and processing for Quantitative Susceptibility Mapping (QSM)
inferred← citeshttps://doi.org/10.1088/2057-1976/2/2/025015openalex-snapshot
T2* phase imaging and processing for brain functional magnetic susceptibility ( χ ) mapping
inferred← citeshttps://doi.org/10.1097/rct.0000000000000644openalex-snapshot
Development of Correction for Signal-to-Noise Ratio Using a T2* With Improved Phase Method
inferred← citeshttps://doi.org/10.1109/tbme.2017.2749298openalex-snapshot
Quantitative Susceptibility Mapping (QSM) Algorithms: Mathematical Rationale and Computational Implementations
inferred← citeshttps://doi.org/10.1161/circimaging.117.006459openalex-snapshot
Cerebral Oxygenation Measurements by Magnetic Resonance Imaging in Fetuses With and Without Heart Defects
inferred← citeshttps://doi.org/10.2463/mrms.mp.2021-0043openalex-snapshot
Region Expansion of Background Field Removal with Local Spherical Harmonics Approximation for Whole-brain Quantitative Susceptibility Mapping
inferred← citeshttps://doi.org/10.3389/fnins.2021.537666openalex-snapshot
Iterative Restoration of the Fringe Phase (REFRASE) for QSM
inferred← citeshttps://doi.org/10.48550/arxiv.1909.13692openalex-snapshot
Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning
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