ArticleMagnetic resonance in medicine2020
The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design.
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed.
- An Open-Source, Reproducible MRI Data Acquisition and Reconstruction Workflow Using Pulseq: Multi-Site and Cross-Vendor Validation.Magnetic resonance in medicine · 2026Article
- Nonlinear inversion model-driven deep learning method for magnetic resonance imaging (MRI) quantitative susceptibility mapping imaging.Quantitative imaging in medicine and surgery · 2026Article
- Quantitative susceptibility mapping in magnetically inhomogeneous tissues.Magnetic resonance in medicine · 2025Article
- Sensitivity of Quantitative Susceptibility Mapping for Clinical Research in Deep Gray Matter.Human brain mapping · 2025Article
- Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping.Magma (New York, N.Y.) · 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
- Exploiting gradient-echo frequency evolution: Probing white matter microstructure and extracting bulk susceptibility-induced frequency for quantitative susceptibility mapping.Magnetic resonance in medicine · 2024Article
- Chronic active lesions in multiple sclerosis: classification, terminology, and clinical significance.Therapeutic advances in neurological disorders · 2024Review
- Quantitative Susceptibility Mapping MRI in Deep-Brain Nuclei in First-Episode Psychosis.Schizophrenia bulletin · 2023Article
- High angular resolution susceptibility imaging and estimation of fiber orientation distribution functions in primate brain.NeuroImage · 2023Article
- DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging.Medical image analysis · 2023Article
- Toward a realistic in silico abdominal phantom for QSM.Magnetic resonance in medicine · 2023Article
- Article
- Quantitative susceptibility mapping using plug-and-play alternating direction method of multipliers.Scientific reports · 2022Article
- QSM reconstruction challenge 2.0: Design and report of results.Magnetic resonance in medicine · 2021Article
- Single-step calculation of susceptibility through multiple orientation sampling.NMR in biomedicine · 2021Article
- QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures.Magnetic resonance in medicine · 2021Article
- Comparison of parameter optimization methods for quantitative susceptibility mapping.Magnetic resonance in medicine · 2021Article
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Authors and funding
9 authors.
Funding
Abstract
purposeThe 4th International Workshop on MRI Phase Contrast and QSM (2016, Graz, Austria) hosted the first QSM Challenge. A single-orientation gradient recalled echo acquisition was provided, along with COSMOS and the χ
methodsWe investigated the influence of background field remnants by applying additional filters. We also estimated the anisotropic contributions from the STI tensor to the apparent susceptibility to amend the χ
resultsReconstructions compared against the amended STI ground truth returned lower errors. We show that the background field remnants had a minor impact in the errors. In the absence of inconsistencies, all metrics converged to the same regularization weights, whereas structural similarity index metric was more insensitive to such inconsistencies.
conclusionThere was a mismatch between the provided data and the ground truths due to the presence of unaccounted anisotropic susceptibility contributions and noise. Given the lack of reliable ground truths when using in vivo acquisitions, simulations are suggested for future QSM Challenges.
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