ArticleMagnetic resonance in medicine2013
Multipeak fat-corrected complex R2* relaxometry: theory, optimization, and clinical validation.
Article in Magnetic resonance in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
85 citing papers in PubMed, 1 synthesis or guideline pooled it, 149 citations in OpenAlex.
- Reproducibility of liver iron concentration measured by R2* method based on 1.5-T MRI: a meta-analysis.European radiology · 2025Pooled it
- Radiomics nomograms based on R2* mapping and clinical biomarkers for staging of liver fibrosis in patients with chronic hepatitis B: a single-center retrospective study.European radiology · 2023Trial
- T1 bias in chemical shift-encoded liver fat-fraction: role of the flip angle.Journal of magnetic resonance imaging : JMRI · 2014Trial
- Meal-Induced Proton Density Fat Fraction andNMR in biomedicine · 2026Article
- Mesoscale Whole-Brain TMagnetic resonance in medicine · 2026Article
- Comparison of bi- and tri-component approaches for the analysis of short-TMagma (New York, N.Y.) · 2026Article
- Comparison of hepatic iron quantification by MRI between 1.5 and 3 T, using different methods and conversion formulas.European radiology · 2026Article
- Evaluation of 0.55T MRI for Simultaneous R2* and Fat Fraction Quantification in the Presence of Hepatic Iron Overload and Steatosis Using Simulations and Phantoms.Magnetic resonance in medicine · 2026Article
- Accelerated free-breathing volumetric liver proton density fat fraction (PDFF) andMagma (New York, N.Y.) · 2026Article
- A dedicated phantom for exploring the interplay of fat and paramagnetic substances in quantitative susceptibility mapping.Magma (New York, N.Y.) · 2025Article
- Multi-Center, Multi-Vendor Validation of Simultaneous MRI-Based Proton Density Fat Fraction and R2* Mapping Using a Combined Proton Density Fat Fraction-R2* Phantom.Journal of magnetic resonance imaging : JMRI · 2025Article
- Impact of particle size onMagnetic resonance in medicine · 2025Article
- Rapid liver tissue characterization using simultaneous multi-relaxation-time imaging: a comparative study with conventional magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2025Article
- 5D image reconstruction exploiting space-motion-echo sparsity for accelerated free-breathing quantitative liver MRI.Medical image analysis · 2025Article
- State-of-the-Art Quantification of Liver Iron With MRI-Vendor Implementation and Available Tools.Journal of magnetic resonance imaging : JMRI · 2025Review
- Practical approach to quantitative liver and pancreas MRI in children.Pediatric radiology · 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
- Iron overload in paediatric oncology: the role of radiology in diagnosing and monitoring secondary haemochromatosis.Polish journal of radiology · 2025Review
- Free-breathing, fat-corrected TMagnetic resonance in medicine · 2024Article
- Computed Tomography and Magnetic Resonance Imaging in Liver Iron Overload: From Precise Quantification to Prognosis Assessment.Biomedicines · 2024Review
25 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
purposeTo develop R2* mapping techniques corrected for confounding factors and optimized for noise performance. THEORY AND
methodsConventional R2* mapping is affected by two key confounding factors: noise-related bias and the presence of fat in tissue. Noise floor effects introduce bias in magnitude-based reconstructions, particularly at high R2* values. The presence of fat, if uncorrected, introduces severe protocol-dependent bias. In this work, the bias/noise properties of different R2* mapping reconstructions (magnitude- and complex-fitting, fat-uncorrected, and fat-corrected) are characterized using Cramer-Rao Bound analysis, simulations, and in vivo data. A framework for optimizing the choice of echo times is provided. Finally, the robustness of liver R2* mapping in the presence of fat is evaluated in 28 subjects.
resultsFat-corrected R2* mapping removes fat-related bias without noise penalty over a wide range of R2* values. Complex nonlinear least-squares fitted and fat-corrected R2* reconstructions that account for the spectral complexity of fat provide robust R2* estimates with low bias and optimized noise performance over a wide range of echo times combinations and R2* values.
conclusionThe use of complex fitting and fat-correction improves the robustness, noise performance, and accuracy of R2* measurements, and are necessary to establish R2* as quantitative imaging biomarker in the liver.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.