Temperature-corrected proton density fat fraction estimation using chemical shift-encoded MRI in phantoms.
Temperature-corrected proton density fat fraction estimation using chemical shift-encoded MRI in phantoms.
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DOI：
10.1002/mrm.28669
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发表时间：
2021-07
影响因子：
3.3
通讯作者：
RSNA Quantitative Imaging Biomarker Alliance - Proton Density Fat Fraction Biomarker Committee
中科院分区：
文献类型：
--
作者：
Navaratna R;Zhao R;Colgan TJ;Hu HH;Bydder M;Yokoo T;Bashir MR;Middleton MS;Serai SD;Malyarenko D;Chenevert T;Smith M;Henderson W;Hamilton G;Shu Y;Sirlin CB;Tkach JA;Trout AT;Brittain JH;Hernando D;Reeder SB;RSNA Quantitative Imaging Biomarker Alliance - Proton Density Fat Fraction Biomarker Committee
化学位移编码 MRI (CSE-MRI) 已广泛用于量化质子密度脂肪分数 (PDFF)，作为肝脏脂肪变性的定量生物标志物。然而，众所周知，在模型研究中，温度会使 PDFF 估计产生偏差。在这项研究中，通过模拟、温控实验和多中心、多供应商模型研究，制定并评估了纠正温度对 PDFF 估计影响的策略。提出了一种技术解决方案，该解决方案假设并自动估计整个体模的均匀全局温度。计算机模拟使用基于幅度、复杂和混合的 CSE-MRI 方法来模拟温度对 PDFF 估计的影响。进行模型实验以评估在受控模型温度下 PDFF 估计的温度校正。为了在更大范围内评估温度校正方法，所提出的方法应用于作为九个站点多供应商模型研究的一部分获得的数据，并与使用环境室温先验猜测的温度校正 PDFF 估计进行比较。模拟和温度控制实验表明，随着温度进一步偏离假设温度，PDFF 偏差会增加。使用所提出的校正方法和对环境温度的合理先验猜测，使用基于幅度的 CSE-MRI，跨 MRI 系统、场强、协议和不同的体模温度，减少了 PDFF 偏差和变异性。复杂和混合方法在校正前后都显示出很小的 PDFF 偏差和变异性。即使没有关于温度的先验信息，温度校正也可以减少 MRI 供应商、站点、场强和基于震级的 CSE-MRI 协议之间与温度相关的 PDFF 偏差和体模的变异性。
Chemical shift-encoded MRI (CSE-MRI) is well-established to quantify proton density fat fraction (PDFF) as a quantitative biomarker of hepatic steatosis. However, temperature is known to bias PDFF estimation in phantom studies. In this study, strategies were developed and evaluated to correct for the effects of temperature on PDFF estimation through simulations, temperature-controlled experiments, and a multi-center, multi-vendor phantom study. A technical solution that assumes and automatically estimates a uniform, global temperature throughout the phantom is proposed. Computer simulations modeled the effect of temperature on PDFF estimation using magnitude-, complex-, and hybrid-based CSE-MRI methods. Phantom experiments were performed to assess the temperature correction on PDFF estimation at controlled phantom temperatures. To assess the temperature correction method on a larger scale, the proposed method was applied to data acquired as part of a nine-site multi-vendor phantom study and compared to temperature-corrected PDFF estimation using an a priori guess for ambient room temperature. Simulations and temperature-controlled experiments show that as temperature deviates further from the assumed temperature, PDFF bias increases. Using the proposed correction method and a reasonable a priori guess for ambient temperature, PDFF bias and variability were reduced using magnitude-based CSE-MRI, across MRI systems, field strengths, protocols, and varying phantom temperature. Complex and hybrid methods showed little PDFF bias and variability both before and after correction. Correction for temperature reduces temperature-related PDFF bias and variability in phantoms across MRI vendors, sites, field strengths, and protocols for magnitude-based CSE-MRI, even without a priori information about the temperature.
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DOI：
10.1002/hep.26455
发表时间：
2013-12
期刊：
Hepatology (Baltimore, Md.)
影响因子：
--
作者：
Noureddin M;Lam J;Peterson MR;Middleton M;Hamilton G;Le TA;Bettencourt R;Changchien C;Brenner DA;Sirlin C;Loomba R
通讯作者：
Loomba R
影响因子：
3.3
作者：
Hernando, D.;Hines, C. D. G.;Yu, H.;Reeder, S. B.
通讯作者：
Reeder, S. B.
影响因子：
3.3
作者：
Hernando, Diego;Sharma, Samir D.;Kramer, Harald;Reeder, Scott B.
通讯作者：
Reeder, Scott B.
影响因子：
3.3
作者：
Karampinos, Dimitrios C.;Yu, Huanzhou;Shimakawa, Ann;Link, Thomas M.;Majumdar, Sharmila
通讯作者：
Majumdar, Sharmila
影响因子：
3.3
作者：
Keenan KE;Stupic KF;Russek SE;Mirowski E
通讯作者：
Mirowski E