Coelho Santiago, Liao Ying, Szczepankiewicz Filip, Veraart Jelle, Chung Sohae, Lui Yvonne W, Novikov Dmitry S, Fieremans Els
Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.
Center for Advanced Imaging Innovation and Research (CAIR), Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.
ArXiv. 2024 Feb 27:arXiv:2402.17175v1.
Joint modeling of diffusion and relaxation has seen growing interest due to its potential to provide complementary information about tissue microstructure. For brain white matter, we designed an optimal diffusion-relaxometry MRI protocol that samples multiple b-values, B-tensor shapes, and echo times (TE). This variable-TE protocol (27 min) has as subsets a fixed-TE protocol (15 min) and a 2-shell dMRI protocol (7 min), both characterizing diffusion only. We assessed the sensitivity, specificity and reproducibility of these protocols with synthetic experiments and in six healthy volunteers. Compared with the fixed-TE protocol, the variable-TE protocol enables estimation of free water fractions while also capturing compartmental relaxation times. Jointly measuring diffusion and relaxation offers increased sensitivity and specificity to microstructure parameters in brain white matter with voxelwise coefficients of variation below 10%.
由于扩散与弛豫联合建模有潜力提供关于组织微观结构的补充信息,其受到了越来越多的关注。对于脑白质,我们设计了一种优化的扩散弛豫测量MRI协议,该协议对多个b值、B张量形状和回波时间(TE)进行采样。这种可变TE协议(27分钟)有两个子集,一个固定TE协议(15分钟)和一个双壳扩散张量成像(dMRI)协议(7分钟),这两个协议都仅用于表征扩散。我们通过模拟实验和对六名健康志愿者的研究评估了这些协议的敏感性、特异性和可重复性。与固定TE协议相比,可变TE协议能够估计自由水分数,同时还能获取不同组织成分的弛豫时间。联合测量扩散和弛豫对脑白质微观结构参数的敏感性和特异性更高,体素变异系数低于10%。