ArticleMagnetic resonance in medicine2022
QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping.
Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Large-Vessel Venous Signal Confounds Apparent Amygdala Activation in BOLD fMRI.bioRxiv : the preprint server for biology · 2026Article
- A neuroimaging atlas of the nigrosomes in the substantia nigra based on 3D histology.Scientific data · 2026Article
- Quantitative MRI Susceptibility: Mapping of Transient Ischemic Attack-A Preliminary Study.Journal of imaging · 2026Article
- Deep Learning-Based Automated Detection and Burden Assessment of Paramagnetic Rim Lesions on Quantitative Susceptibility Mapping in Patients With Multiple Sclerosis.Korean journal of radiology · 2026Article
- Multimodal ultra-high-field MRI, clinical, cognitive, and genetic profiles across the ALS-FTD spectrum.Scientific data · 2026Article
- Voxel-Wise Whole-Brain Analysis in Quantitative Susceptibility Mapping: A Narrative Review.Human brain mapping · 2026Review
- Thalamic quantitative susceptibility mapping and susceptibility source separation: a critical narrative review of evidence and interpretation.Frontiers in neurology · 2026Review
- Study protocol for the Champaign-Urbana population study.Frontiers in neuroimaging · 2026Article
- Mutation in the rat interleukin 34 gene impacts macrophage development, homeostasis, and inflammation.Life science alliance · 2025Article
- Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level.Zeitschrift fur medizinische Physik · 2025Article
- An Optimized Framework of QSM Mask Generation Using Deep Learning: QSMmask-Net.NMR in biomedicine · 2025Article
- Characterizing positive and negative quantitative susceptibility values in the cortex following mild traumatic brain injury: a depth- and curvature-based study.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- From MRIcro to MRIcron: The evolution of neuroimaging visualization tools.Neuropsychologia · 2025Article
- A pilot study assessing the clinical utility of deep learning-reconstructed 3D-echo-planar-imaging-based quantitative susceptibility mapping in multiple sclerosis.Frontiers in neuroscience · 2025Article
- Mild traumatic brain injury increases cortical iron: evidence from individual susceptibility mapping.Brain communications · 2025Article
- Accurate Intramyocardial Hemorrhage Assessment with Fast, Free-running, Cardiac Quantitative Susceptibility Mapping.Radiology. Cardiothoracic imaging · 2024Article
- Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging.Nature methods · 2024Article
- Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro-magnetic tissue properties study group.Magnetic resonance in medicine · 2024Article
- Maximum spherical mean value filtering for whole-brain QSM.Magnetic resonance in medicine · 2024Article
- Improved dynamic distortion correction for fMRI using single-echo EPI and a readout-reversed first image (REFILL).Human brain mapping · 2023Article
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Authors and funding
14 authors.
Funding
Abstract
purposeQuantitative susceptibility mapping (QSM) estimates the spatial distribution of tissue magnetic susceptibilities from the phase of a gradient-echo signal. QSM algorithms require a signal mask to delineate regions with reliable phase for subsequent susceptibility estimation. Existing masking techniques used in QSM have limitations that introduce artifacts, exclude anatomical detail, and rely on parameter tuning and anatomical priors that narrow their application. Here, a robust masking and reconstruction procedure is presented to overcome these limitations and enable automated QSM processing. Moreover, this method is integrated within an open-source software framework: QSMxT.
methodsA robust masking technique that automatically separates reliable from less reliable phase regions was developed and combined with a two-pass reconstruction procedure that operates on the separated sources before combination, extracting more information and suppressing streaking artifacts.
resultsCompared with standard masking and reconstruction procedures, the two-pass inversion reduces streaking artifacts caused by unreliable phase and high dynamic ranges of susceptibility sources. It is also robust across a range of acquisitions at 3 T in volunteers and phantoms, at 7 T in tumor patients, and in an in silico head phantom, with significant artifact and error reductions, greater anatomical detail, and minimal parameter tuning.
conclusionThe two-pass masking and reconstruction procedure separates reliable from less reliable phase regions, enabling a more accurate QSM reconstruction that mitigates artifacts, operates without anatomical priors, and requires minimal parameter tuning. The technique and its integration within QSMxT makes QSM processing more accessible and robust to streaking artifacts.
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