Ultrashort echo time imaging for quantification of hepatic iron overload: Comparison of acquisition and fitting methods via simulations, phantoms, and in vivo data

Abstract

Background: Current 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 −1 ) and signal-to-noise ratios (SNR). Phantoms with varying iron concentrations were scanned at 1.5T. In vivo data were analyzed from 132 patients acquired at 1.5T. R2* was estimated by fitting using three signal models. Accuracy and precision of R2* measurements for UTE acquisition parameters (SNR, echo spacing [ΔTE], maximum echo time [TE max ]) and fitting methods were compared for simulated, phantom, and in vivo datasets. Statistical Tests: R2* accuracy was determined from the relative error and by linear regression analysis. Precision was evaluated using coefficient of variation (CoV) analysis. Results: In simulations, all models had high R2* accuracy (error <5%) and precision (CoV <10%) for all SNRs, shorter ΔTE (≤0.5 msec), and longer TE max (≥10.1 msec); except the constant offset model overestimated R2* at the lowest SNR. In phantoms and in vivo, all models produced similar R2* values for different SNRs and shorter ΔTEs (slopes: 0.99–1.06, R 2 > 0.99, P < 0.001). In all experiments, R2* results degraded for high R2* values with longer ΔTE (≥1 msec). In vivo, shorter and longer TE max gave similar R2* results (slopes: 1.02–1.06, R 2 > 0.99, P < 0.001) for the noise subtraction model for 25≤R2*≤2000 s −1 . However, both quadratic and constant offset models, using shorter TE max (≤4.7 msec) overestimated R2* and yielded high CoVs up to ∼170% for low R2* (<250 s −1 ). Data Conclusion: UTE with TE max ≥ 10.1 msec and ΔTE ≤ 0.5 msec yields accurate R2* estimates over the entire clinical HIC range. Monoexponential fitting with noise subtraction is the most robust signal model to changes in UTE parameters and achieves the highest R2* accuracy and precision. Level of Evidence: 2. Technical Efficacy: Stage 2. J. Magn. Reson. Imaging 2019;49:1475–1488.

Publication Title

Journal of Magnetic Resonance Imaging

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