Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, United Kingdom.
Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
Magn Reson Med. 2019 Dec;82(6):2160-2168. doi: 10.1002/mrm.27869. Epub 2019 Jun 26.
To demonstrate the feasibility of multidimensional diffusion MRI to probe and quantify microscopic fractional anisotropy (µFA) in human kidneys in vivo.
Linear tensor encoded (LTE) and spherical tensor encoded (STE) renal diffusion MRI scans were performed in 10 healthy volunteers. Respiratory triggering and image registration were used to minimize motion artefacts during the acquisition. Kidney cortex-medulla were semi-automatically segmented based on fractional anisotropy (FA) values. A model-free analysis of LTE and STE signal dependence on b-value in the renal cortex and medulla was performed. Subsequently, µFA was estimated using a single-shell approach. Finally, a comparison of conventional FA and µFA is shown.
The hallmark effect of µFA (divergence of LTE and STE signal with increasing b-value) was observed in all subjects. A statistically significant difference between LTE and STE signal was found in the cortex and medulla, starting from b = 750 s/mm and b = 500 s/mm , respectively. This difference was maximal at the highest b-value sampled (b = 1000 s/mm ) which suggests that relatively high b-values are required for µFA mapping in the kidney compared to conventional FA. Cortical and medullary µFA were, respectively, 0.53 ± 0.09 and 0.65 ± 0.05, both respectively higher than conventional FA (0.19 ± 0.02 and 0.40 ± 0.02).
The feasibility of combining LTE and STE diffusion MRI to probe and quantify µFA in human kidneys is demonstrated for the first time. By doing so, we show that novel microstructure information-not accessible by conventional diffusion encoding-can be probed by multidimensional diffusion MRI. We also identify relevant technical limitations that warrant further development of the technique for body MRI.
展示多维扩散 MRI 探测和量化人体肾脏微观各向异性分数(µFA)的可行性。
在 10 名健康志愿者中进行线性张量编码(LTE)和球形张量编码(STE)肾脏扩散 MRI 扫描。呼吸触发和图像配准用于在采集过程中最大限度地减少运动伪影。根据各向异性分数(FA)值半自动分割肾脏皮质-髓质。在肾脏皮质和髓质中对 LTE 和 STE 信号对 b 值的模型自由分析进行了分析。随后,使用单壳方法估计 µFA。最后,展示了常规 FA 和 µFA 的比较。
在所有受试者中都观察到了 µFA 的标志性效应(随着 b 值的增加,LTE 和 STE 信号的发散)。在皮质和髓质中,LTE 和 STE 信号之间存在统计学上的显著差异,分别从 b = 750 s/mm 和 b = 500 s/mm 开始。在采样的最高 b 值(b = 1000 s/mm)处,这种差异最大,这表明与常规 FA 相比,在肾脏中进行 µFA 映射需要相对较高的 b 值。皮质和髓质的 µFA 分别为 0.53 ± 0.09 和 0.65 ± 0.05,均高于常规 FA(0.19 ± 0.02 和 0.40 ± 0.02)。
首次证明了结合 LTE 和 STE 扩散 MRI 探测和量化人体肾脏 µFA 的可行性。通过这样做,我们表明多维扩散 MRI 可以探测到常规扩散编码无法获得的新微观结构信息。我们还确定了进一步开发该技术用于身体 MRI 的相关技术限制。