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A Hybrid (Iron–Fat–Water) Phantom for Liver Iron Overload Quantification in the Presence of Contaminating Fat Using Magnetic Resonance Imaging Publisher Pubmed



Mobini N1, 2 ; Malekzadeh M2, 3 ; Haghighatkhah H4 ; Saligheh Rad H1, 2
Authors
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Authors Affiliations
  1. 1. Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
  2. 2. Quantitative MR Imaging and Spectroscopy Group (QMISG), Research Center for Cellular and Molecular Imaging, Institute for Advanced Medical Technologies, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Keshavarz Blvd, Tehran, 1419733141, Iran
  3. 3. Medical Physics Department, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
  4. 4. Department of Radiology, Shohada-e Tajrish Hospital, Shahid Beheshti University of Medical Sciences (SBMU), Tehran, Iran

Source: Magnetic Resonance Materials in Physics# Biology and Medicine Published:2020


Abstract

Objective: Assessment of iron content in the liver is crucial for diagnosis/treatment of iron-overload diseases. Nonetheless, T2*-based methods become challenging when fat and iron are simultaneously present. This study proposes a phantom design concomitantly containing various concentrations of iron and fat suitable for devising accurate simultaneous T2* and fat quantification technique. Materials and methods: A 46-vial iron–fat–water phantom with various iron concentrations covering clinically relevant T2* relaxation time values, from healthy to severely overloaded liver and wide fat percentages ranges from 0 to 100% was prepared. The phantom was constructed using insoluble iron (II, III) oxide powder containing microscale particles. T2*-weighted imaging using multi-gradient-echo (mGRE) sequence, and chemical shift imaging spin-echo (CSI-SE) Magnetic Resonance Spectroscopy (MRS) data were considered for the analysis. T2* relaxation times and fat fractions were extracted from the MR signals to explore the effects of fat and iron overload. Results: Size distribution of iron oxide particles for Magnetite fits with a lognormal function with a mean size of about 1.17 µm. Comparison of FF color maps, estimated from bi- and mono-exponential model indicated that single-T2* fitting model resulted in lower NRMSD. Therefore, T2* values from the mono-exponential signal equation were used and expressed the relationship between relaxation time value across all iron (Fe) and fat concentration as Fe=-28.02+302.84T2∗-0.045FF, with R-squared = 0.89. Discussion: The proposed phantom design with microsphere iron particles closely simulated the single-T2* behavior of fatty iron-overloaded liver in vivo. © 2019, European Society for Magnetic Resonance in Medicine and Biology (ESMRMB).