A comparison of curve-fitting models for MRI T2* measurements of a gel-phantom at different levels of signal to noise ratio

TL;DRAbstract

Introduction: T2* measurement using magnetic resonance imaging (MRI) becomes a standard method for evaluation of iron deposit in organs. Therefore, accuracy of the measurement is important. Factors affected to the accuracy of T2* values are signal-to-noise ratio (SNR) and curve-fitting models. Objectives of the study: We proposed a phantom study to compare the accuracy and reproducibility of the T2* when curve-fitting models, different iron concentrations, and levels SNR were changed. Materials and methods: A gel phantom was built with 8 different Fe3+ concentrations. Axial view phantom images were acquired using a 1.5-T Achieva, Philips MRI scanner along with a head coil. Setting parameters were: acquisition matrix 184x183, reconstruction matrix 512 x 512, field-of-view 275 mm, and slice thickness 1.5 mm. The gradient multi-echo pulse sequence was applied with 32 echo times (TEs) 4.48 ms to 81.98 ms, inter-echo time 2.5 ms, TR 800 ms, and flip angle 18 degrees. All data were acquired

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