The qMRI Variety Show: A Little Bit of Everything
Digital Poster
Acquisition & Reconstruction
Wednesday, 13 May 2026
This session covers different topics on quantitative MRI.
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564-05-001.
Predicting sequence-induced variability in T1-weighted image-derived phenotypes using physics-based synthetic MRI
Impact: This abstract proposes a physics-based
framework for synthesising T₁-weighted image-derived phenotypes (IDPs) to
enable controlled assessment and prediction of sequence-induced bias.
Physics-informed IDP variability will help harmonise MRI biomarkers, and
enhance reproducibility across scanners, institutions, and population-level
neuroimaging studies.
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564-05-002.
Impact of MRI resolution, field strength, and quantitative parameters on lesion-characterization in sclerotic hippocampus
Impact: Our findings indicate that spatial resolution has the greatest impact on lesion detection, helping university hospitals decide between purchasing ultra-high-field MR systems or improving resolution through better sequences, MR hardware, or alternative techniques.
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564-05-003.
Deep learning-based relaxometry from conventional brain MRI: applications to a large-scale, clinically heterogeneous dataset
Impact: Deep
learning-based retrospective T1-/T2-/proton-density-mapping on a large-scale
clinical dataset facilitates quantitative analyses of conventional MRI.
Potentially valuable insights from this method could promote clinical adoption
of quantitative MRI for applications such as lesion differentiation, treatment
response monitoring and longitudinal analysis.
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564-05-004.
Associations between Cytokines and Multiparametric MRI biomarkers of Metabolic Disease Risk in Pre-pubertal Mexican Boys
Impact: Multiparametric MRI
markers correlated with serum cytokines linked to MASLD progression. cT1 was
associated with MCP-1, IL-4 and FGF-2, key drivers of inflammation and
fibrosis, supporting the role of cT1 in patient risk stratification and non-invasive
monitoring of treatment response.
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564-05-005.
RGB4FLAIR: Eliminating Partial Volume Artifacts in Synthetic FLAIR Using Deep Learning Trained on Natural Images
Impact: RGB4FLAIR enables PVE artifact–free synthetic FLAIR
without costly paired clinical training data, using RGB channels of natural images as not anatomy biased qMRI map
surrogates to improve the quality of qMRI-synthesized images to accelerate
clinical translation and qMRI adoption.
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564-05-006.
Reliability of Structural, Quantitative and Functional MRI Measures Following 3T Scanner Relocation
Impact: MRI-derived neuroimaging metrics remain highly reproducible after scanner relocation, with structural, diffusion, and functional measures showing minimal variation (<5%) and excellent reliability (ICC up to 0.99), supporting the robustness of longitudinal and multisite MRI research.
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564-05-007.
Quantitative T2 mapping for assessment of MASLD using a radial turbo spin echo sequence (RadTSE) with fat suppression
Impact: T2 mapping
may be a useful tool for chronic liver disease assessment, with histogram analysis
demonstrating an increased skewness of T2 value distribution in fatty liver and
an inverse correlation between the T2 10th percentile and liver fat
fraction.
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564-05-008.
Towards 7 Tesla whole-brain 3D Dynamic Glucose-Enhanced Imaging with semi-quantitative R1ρ mapping
Impact: We have successfully demonstrated the feasibility of 3D whole-brain DGE-MGI at 7T using semi-quantitative R1p mapping with high spatial (1 mm2 in-plane) and temporal (40s) resolution.
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564-05-009.
Quantitative evaluation of portal vein hemodynamic changes in patients with cirrhosis using 4D Flow MRI
Impact: Comprehensive assessment of portal venous system hemodynamics provides assistance for accurate treatment and prognosis indicators of patients with liver cirrhosis (LC) and hepatic cellular cancer (HCC).
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564-05-010.
Subclinical Cardiac Impairment Patterns in Obese Individuals and Weight-Loss Associated Remodeling Effects Using Cardiac MRI
Impact: This study reveals that obesity causes reversible subclinical LV
dysfunction detectable by CMR-FT, highlighting the potential of weight loss
interventions to restore myocardial function and prevent obesity-related
cardiac remodeling.
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564-05-011.
Measurement of the blood transverse relaxation rate constant assisted by flow velocity spectrum MRI
Impact: The
new R2 measurement
technique, facilitated by velocity spectrum MRI, reduces the partial volume and
flow effects, and provides new opportunities to investigate smaller vessels,
regions beyond the brain, and arterial blood for a more thorough assessment of
oxygen metabolism.
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564-05-012.
Single-Breath-Hold Spin-Echo EPTSI for Rapid and Accurate Fat Fraction Quantification
Impact: This study introduces a single-breath-hold SE_EPTSI technique that provides accurate FF quantification comparable to the HISTO sequence, while enabling faster acquisition, wider coverage, and higher spatial resolution, offering a viable approach for liver fat quantification.
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564-05-013.
Generation of Synthetic Brain Tumour MR Spectra using Convex NMF and Statistical Modelling
Impact: Synthetic brain tumour MRS generated with cNMF and
statistical modelling can supplement limited MRS datasets, supporting more
robust machine-learning-based tumour classification and promoting broader
clinical integration of spectroscopy in neuro-oncology.
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564-05-014.
Half-Dose Dynamic Contrast-Enhanced MRI at 5.0T in Ischemic Stroke: A Quantitative Comparison with 3.0T
Impact: This work demonstrated that 5T DCE-MRI with a half-dose protocol was feasible, offering superior SNR and potentially enhanced sensitivity to microvascular hemodynamics, paving the way for safer, high-fidelity perfusion imaging in neurologic disorders.
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