School of Biomedical Engineering, Anhui Medical University, Hefei, China.
Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
NMR Biomed. 2021 Dec;34(12):e4604. doi: 10.1002/nbm.4604. Epub 2021 Aug 30.
The aim of this study was to reproduce relaxivity-iron calibration in hepatic iron overload using a Monte Carlo model, and further extend the model with multiple spin echo (MSE) imaging. As previously reported, relationships between relaxation rates ( and single spin echo R ) and liver iron concentration (LIC) can be characterized by a Monte Carlo model incorporating realistic liver structure, iron distribution, and proton mobility. In this study, relaxivity-iron calibration curves at 1.5 and 3.0 T were simulated using the Monte Carlo model. Furthermore, the model was extended with MSE imaging, and iron calibrations were evaluated using two different fitting models: mononexponential with a constant offset and nonmonoexponential. Results consistent with previous empirical calibrations and Monte Carlo predictions were accurately reproduced for relaxivity-iron calibration. The predicted and single spin echo R increased by a factor of 2.00 and 1.51, respectively, at 1.5 versus 3.0 T. MSE signals and their corresponding R depended strongly on LIC, interecho time, and field strength. Preliminary results showed that a nonmonoexponential model accurately characterizes the simulated MSE signals, and that strong correlations were found between predicted relaxation parameters and LIC. In conclusion, relaxivity-iron calibration is reproducible using the proposed Monte Carlo model. Furthermore, this model can be readily extended to other important applications, including predicting signal behavior for MSE imaging.
本研究旨在利用蒙特卡罗模型再现肝铁过载中的弛豫率-铁校准,并进一步通过多回波(MSE)成像扩展该模型。如前所述,可通过结合现实肝结构、铁分布和质子迁移率的蒙特卡罗模型来描述弛豫率( 和单自旋回波 R )与肝铁浓度(LIC)之间的关系。在本研究中,使用蒙特卡罗模型模拟了 1.5 和 3.0 T 下的弛豫率-铁校准曲线。此外,通过 MSE 成像扩展了该模型,并使用两种不同的拟合模型(带有恒定偏移的单指数和非单指数)评估了铁校准。对于弛豫率-铁校准,准确再现了与先前经验校准和蒙特卡罗预测一致的结果。与 3.0 T 相比,在 1.5 T 下,预测的 和单自旋回波 R 分别增加了 2.00 倍和 1.51 倍。MSE 信号及其相应的 R 值强烈依赖于 LIC、回波间隔和场强。初步结果表明,非单指数模型准确描述了模拟的 MSE 信号,并且预测的弛豫参数与 LIC 之间存在很强的相关性。总之,使用所提出的蒙特卡罗模型可再现弛豫率-铁校准。此外,该模型可轻松扩展到其他重要应用,包括预测 MSE 成像的信号行为。