ArticleMagnetic resonance in medicine2017
Preconditioned total field inversion (TFI) method for quantitative susceptibility mapping.
Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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54 citing papers in PubMed, 124 citations in OpenAlex.
- Quantitative Susceptibility Mapping of Kidney Stones: An Ex Vivo MRI Phantom Study.Magnetic resonance in medicine · 2026Article
- An external reference to enable quantitative susceptibility mapping (QSM) in absolute terms: theoretical considerations, simulations, and experimental evaluation.Magma (New York, N.Y.) · 2026Article
- MRI Quantification of Liver Fibrosis Using Diamagnetic Susceptibility: An Ex Vivo Validation Study.Tomography (Ann Arbor, Mich.) · 2026Article
- Oxygen extraction fraction is differentially associated with pathological biomarkers in Alzheimer's disease and non-Alzheimer's dementias.Frontiers in neuroscience · 2026Article
- Article
- Quantitative Susceptibility Mapping of Deep Grey Matter in MS: Association With Clinical Scores and Brain Volume Measures.Brain and behavior · 2025Article
- Comparing repeatability metrics for quantitative susceptibility mapping in the head and neck.Magma (New York, N.Y.) · 2025Article
- Spiral cardiac quantitative susceptibility mapping for differential cardiac chamber oxygenation-Initial validation in relation to invasive blood sampling.Magnetic resonance in medicine · 2025Article
- Sensitivity assessment of QSM+qBOLD (or QQ) in detecting elevated oxygen extraction fraction (OEF) in physiological change.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025Article
- Quantitative susceptibility mapping is more sensitive and specific than phase imaging in detecting chronic active multiple sclerosis lesion rims: pathological validation.Brain communications · 2025Article
- Quantitative susceptibility mapping for detection of kidney stones, hemorrhage differentiation, and cyst classification in ADPKD.Abdominal radiology (New York) · 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
- BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources.Zeitschrift fur medizinische Physik · 2023Article
- Data adaptive regularization with reference tissue constraints for liver quantitative susceptibility mapping.Magnetic resonance in medicine · 2023Article
- QSM Throughout the Body.Journal of magnetic resonance imaging : JMRI · 2023Review
- Investigating the effect of oblique image acquisition on the accuracy of QSM and a robust tilt correction method.Magnetic resonance in medicine · 2023Article
- Quantitative susceptibility mapping of the head-and-neck using SMURF fat-water imaging with chemical shift and relaxation rate corrections.Magnetic resonance in medicine · 2022Article
- QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping.Magnetic resonance in medicine · 2022Article
- QQ-NET - using deep learning to solve quantitative susceptibility mapping and quantitative blood oxygen level dependent magnitude (QSM+qBOLD or QQ) based oxygen extraction fraction (OEF) mapping.Magnetic resonance in medicine · 2022Article
- Quantitative Evaluation of Small Intestinal Hemorrhage Using Energy Spectrum CT Iodine-Water Map.Computational and mathematical methods in medicine · 2022Article
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5 authors at 1 institution in 1 country.
Funding
Abstract
purposeTo investigate systematic errors in traditional quantitative susceptibility mapping (QSM) where background field removal and local field inversion (LFI) are performed sequentially, to develop a total field inversion (TFI) QSM method to reduce these errors, and to improve QSM quality in the presence of large susceptibility differences. THEORY AND
methodsThe proposed TFI is a single optimization problem which simultaneously estimates the background and local fields, preventing error propagation from background field removal to QSM. To increase the computational speed, a new preconditioner is introduced and analyzed. TFI is compared with the traditional combination of background field removal and LFI in a numerical simulation and in phantom, 5 healthy subjects, and 18 patients with intracerebral hemorrhage.
resultsCompared with the traditional method projection onto dipole fields+LFI, preconditioned TFI substantially reduced error in QSM along the air-tissue boundaries in simulation, generated high-quality in vivo QSM within similar processing time, and suppressed streaking artifacts in intracerebral hemorrhage QSM. Moreover, preconditioned TFI was capable of generating QSM for the entire head including the brain, air-filled sinus, skull, and fat.
conclusionPreconditioned total field inversion improves the accuracy of QSM over the traditional method where background and local fields are separately estimated. Magn Reson Med 78:303-315, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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