Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, 21 Avenue Jean Capelle, Lyon, 69621, France.
Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, 21 Avenue Jean Capelle, Lyon, 69621, France.
Med Eng Phys. 2023 Oct;120:104013. doi: 10.1016/j.medengphy.2023.104013. Epub 2023 Jun 24.
Monte Carlo diffusion simulations are commonly used to establish a reliable ground truth of tissue microstructure, including for the validation of diffusion-weighted MRI. However, selecting simulation parameters is challenging and affects validity and reproducibility. We conducted experiments to investigate critical conditions in Monte Carlo simulations, such as tissue representation complexity, simulated molecules, update duration, and compartment size. Results show significant changes in microstructure characteristics when parameters are altered, emphasizing the importance of careful control for a reliable ground truth.
蒙特卡罗扩散模拟常用于建立可靠的组织微观结构真实情况,包括用于扩散加权 MRI 的验证。但是,选择模拟参数具有挑战性,并且会影响有效性和可重复性。我们进行了实验来研究蒙特卡罗模拟中的关键条件,例如组织表示复杂性、模拟分子、更新持续时间和隔室大小。结果表明,当参数改变时,微观结构特征会发生显著变化,这强调了为了获得可靠的真实情况需要仔细控制的重要性。