ArticleJournal of magnetic resonance imaging : JMRI2019
Ultrashort echo time imaging for quantification of hepatic iron overload: Comparison of acquisition and fitting methods via simulations, phantoms, and in vivo data.
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 11 papers.
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Who cites it
11 citing papers in PubMed.
- Comparison of hepatic iron quantification by MRI between 1.5 and 3 T, using different methods and conversion formulas.European radiology · 2026Article
- Generalized U-Net for automatic liver segmentation and R2* estimation for assessment of iron overload using MRI.BMC medical imaging · 2026Article
- Impact of particle size onMagnetic resonance in medicine · 2025Article
- State-of-the-Art Quantification of Liver Iron With MRI-Vendor Implementation and Available Tools.Journal of magnetic resonance imaging : JMRI · 2025Review
- Computed Tomography and Magnetic Resonance Imaging in Liver Iron Overload: From Precise Quantification to Prognosis Assessment.Biomedicines · 2024Review
- Free-breathing MRI techniques for fat and RMagma (New York, N.Y.) · 2024Review
- Assessing the accuracy of CMRtools software for diagnosing liver iron overload in thalassemia patients: influencing factors and optimisation strategies.Frontiers in medicine · 2024Article
- Simulation of a virtual liver iron overload model and RNMR in biomedicine · 2023Article
- Quantitative MRI of diffuse liver diseases: techniques and tissue-mimicking phantoms.Magma (New York, N.Y.) · 2023Review
- Quantitative Susceptibility Mapping Using a Multispectral Autoregressive Moving Average Model to Assess Hepatic Iron Overload.Journal of magnetic resonance imaging : JMRI · 2021Article
- Value of liver iron concentration in healthy volunteers assessed by MRI.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundCurrent R2*-MRI techniques for measuring hepatic iron content (HIC) use various acquisition types and fitting models. PURPOSE: To evaluate the accuracy and precision of R2*-HIC acquisition and fitting methods. STUDY TYPE: Signal simulations, phantom study, and prospective in vivo cohort. POPULATION: In all, 132 patients (58/74 male/female, mean age 17.7 years). FIELD STRENGTH/SEQUENCE: 2D-multiecho gradient-echo (GRE) and ultrashort echo time (UTE) acquisitions at 1.5T. ASSESSMENT: Synthetic MR signals were created to mimic published GRE and UTE methods, using different R2* values (25-2000 s STATISTICAL TESTS: R2* accuracy was determined from the relative error and by linear regression analysis. Precision was evaluated using coefficient of variation (CoV) analysis.
resultsIn simulations, all models had high R2* accuracy (error <5%) and precision (CoV <10%) for all SNRs, shorter ΔTE (≤0.5 msec), and longer TE DATA
conclusionUTE with TE LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1475-1488.
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