Naughton Noel M, Georgiadis John G
Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois.
Magn Reson Med. 2020 Apr;83(4):1458-1470. doi: 10.1002/mrm.28014. Epub 2019 Oct 15.
Estimating microstructural parameters of skeletal muscle from diffusion MRI (dMRI) signal requires understanding the relative importance of both microstructural and dMRI sequence parameters on the signal. This study seeks to determine the sensitivity of dMRI signal to variations in microstructural and dMRI sequence parameters, as well as assess the effect of noise on sensitivity.
Using a cylindrical myocyte model of skeletal muscle, numerical solutions of the Bloch-Torrey equation were used to calculate global sensitivity indices of dMRI metrics (FA, RD, MD, , , ) for wide ranges of microstructural and dMRI sequence parameters. The microstructural parameters were: myocyte diameter, volume fraction, membrane permeability, intra- and extracellular diffusion coefficients, and intra- and extracellular times. Two separate pulse sequences were examined, a PGSE and a generalized diffusion-weighted sequence that accommodates a larger range of diffusion times. The effect of noise and signal averaging on the sensitivity of the dMRI metrics was examined by adding synthetic noise to the simulated signal.
Among the examined parameters, the intracellular diffusion coefficient has the strongest effect, and myocyte diameter is more influential than permeability for FA and RD. The sensitivity indices do not vary significantly between the two pulse sequences. Also, noise strongly affects the sensitivity of the dMRI signal to microstructural variations.
With the identification of key microstructural features that affect dMRI measurements, the reported sensitivity results can help interpret dMRI measurements of skeletal muscle in terms of the underlying microstructure and further develop parsimonious dMRI models of skeletal muscle.
从扩散磁共振成像(dMRI)信号估计骨骼肌的微观结构参数,需要了解微观结构参数和dMRI序列参数对信号的相对重要性。本研究旨在确定dMRI信号对微观结构和dMRI序列参数变化的敏感性,并评估噪声对敏感性的影响。
使用骨骼肌的圆柱形肌细胞模型,通过Bloch-Torrey方程的数值解来计算在广泛的微观结构和dMRI序列参数范围内dMRI指标(FA、RD、MD、 、 、 )的全局敏感性指数。微观结构参数包括:肌细胞直径、体积分数、膜通透性、细胞内和细胞外扩散系数以及细胞内和细胞外 时间。研究了两种不同的脉冲序列,一种是PGSE序列,另一种是能适应更大扩散时间范围的广义扩散加权序列。通过向模拟信号中添加合成噪声来研究噪声和信号平均对dMRI指标敏感性的影响。
在所研究的参数中,细胞内扩散系数的影响最强,对于FA和RD,肌细胞直径比通透性更具影响力。两种脉冲序列之间的敏感性指数没有显著差异。此外,噪声强烈影响dMRI信号对微观结构变化的敏感性。
通过识别影响dMRI测量的关键微观结构特征,所报告的敏感性结果有助于根据潜在的微观结构解释骨骼肌的dMRI测量,并进一步开发简洁的骨骼肌dMRI模型。