ArticleJournal of magnetic resonance imaging : JMRI2019
Rapid automated liver quantitative susceptibility mapping.
Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- [A single repetition time quantitative magnetic susceptibility imaging method for the lumbar spine using bipolar readout gradient].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025Article
- 5D image reconstruction exploiting space-motion-echo sparsity for accelerated free-breathing quantitative liver MRI.Medical image analysis · 2025Article
- Hemosiderin quantification in hemophilic arthropathy using quantitative magnetic resonance imaging.Scientific reports · 2025Article
- Water/fat separate reconstruction for body quantitative susceptibility mapping in MRI.Radiological physics and technology · 2025Article
- State-of-the-Art Quantification of Liver Iron With MRI-Vendor Implementation and Available Tools.Journal of magnetic resonance imaging : JMRI · 2025Review
- Multicenter, multivendor validation of liver quantitative susceptibility mapping in patients with iron overload at 1.5 T and 3 T.Magnetic resonance in medicine · 2025Observational
- Free-breathing high isotropic resolution quantitative susceptibility mapping (QSM) of liver using 3D multi-echo UTE cones acquisition and respiratory motion-resolved image reconstruction.Magnetic resonance in medicine · 2023Article
- Liver PDFF estimation using a multi-decoder water-fat separation neural network with a reduced number of echoes.European radiology · 2023Article
- Data adaptive regularization with reference tissue constraints for liver quantitative susceptibility mapping.Magnetic resonance in medicine · 2023Article
- Toward a realistic in silico abdominal phantom for QSM.Magnetic resonance in medicine · 2023Article
- QSM Throughout the Body.Journal of magnetic resonance imaging : JMRI · 2023Review
- LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping.NeuroImage · 2023Article
- Quantitative susceptibility mapping (QSM) of the cardiovascular system: challenges and perspectives.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022Review
- 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
- Quantitative Susceptibility Mapping Using a Multispectral Autoregressive Moving Average Model to Assess Hepatic Iron Overload.Journal of magnetic resonance imaging : JMRI · 2021Article
- Feasibility of quantitative susceptibility mapping (QSM) of the human kidney.Magma (New York, N.Y.) · 2021Article
- Magnetic resonance quantitative susceptibility mapping in the evaluation of hepatic fibrosis in chronic liver disease: a feasibility study.Quantitative imaging in medicine and surgery · 2021Article
- Deep neural network for water/fat separation: Supervised training, unsupervised training, and no training.Magnetic resonance in medicine · 2021Article
- Integrated quantitative susceptibility and RNMR in biomedicine · 2021Article
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Authors and funding
13 authors.
Funding
Abstract
backgroundAccurate measurement of the liver iron concentration (LIC) is needed to guide iron-chelating therapy for patients with transfusional iron overload. In this work, we investigate the feasibility of automated quantitative susceptibility mapping (QSM) to measure the LIC. PURPOSE: To develop a rapid, robust, and automated liver QSM for clinical practice. STUDY TYPE: Prospective. POPULATION: 13 healthy subjects and 22 patients. FIELD STRENGTH/SEQUENCES: 1.5 T and 3 T/3D multiecho gradient-recalled echo (GRE) sequence. ASSESSMENT: Data were acquired using a 3D GRE sequence with an out-of-phase echo spacing with respect to each other. All odd echoes that were in-phase (IP) were used to initialize the fat-water separation and field estimation (T STATISTICAL TESTS: IP and SPURS initialization methods in both healthy subjects and patients were compared using paired t-test and linear regression analysis to assess processing time and region of interest (ROI) measurements. Reproducibility of QSM, R
resultsLiver QSM using the IP method was found to be ~5.5 times faster than SPURS (P < 0.05) in initializing T DATA
conclusionUse of IP echo-based initialization enables robust water/fat separation and field estimation for automated, rapid, and reproducible liver QSM for clinical applications. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:725-732.
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