Voorter Paulien H M, Jansen Jacobus F A, van der Thiel Merel M, van Dinther Maud, Postma Alida A, van Oostenbrugge Robert J, Gurney-Champion Oliver J, Drenthen Gerhard S, Backes Walter H
Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
Mental Health & Neuroscience Research Institute, Maastricht University, Maastricht, The Netherlands.
Magn Reson Med. 2025 Mar;93(3):930-941. doi: 10.1002/mrm.30294. Epub 2024 Nov 6.
This study investigates the feasibility of multi-b-value, multi-directional diffusion MRI for assessing the anisotropy of the cerebral pseudo-diffusion (D*)-tensor. We examine D*-tensor's potential to (1) reflect CSF and blood flow, and (2) detect microvascular architectural alterations in cerebral small vessel disease (cSVD) and aging.
Multi-b-value diffusion MRI was acquired in 32 gradient directions for 11 healthy volunteers, and in six directions for 29 patients with cSVD and 14 controls at 3 T. A physics-informed neural network was used to estimate intravoxel incoherent motion (IVIM)-DTI model parameters, including the parenchymal slow diffusion (D-)tensor and the pseudo-diffusion (D*)-tensor, from which the fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were derived. Comparisons of D*-tensor metrics were made between lateral, third, and fourth ventricles and between the middle cerebral arteries and superior sagittal sinus. Group differences in D*-tensor metrics in normal-appearing white matter were analyzed using multivariable linear regression, correcting for age and sex.
D*-anisotropy aligned well with CSF flow and arterial blood flow. FA(D*), MD(D*), AD(D*), and RD(D*) were highest in the third, moderate in the fourth, and lowest in the lateral ventricles. The arteries showed higher MD(D*), AD(D*), and RD(D*) than the sagittal sinus. Higher FA(D*) in the normal-appearing white matter was related to cSVD diagnosis and older age, suggesting microvascular architecture alterations.
Multi-b-value, multi-directional diffusion analysis using the IVIM-DTI model enables assessment of the cerebral microstructure, fluid flow, and microvascular architecture, providing information on neurodegeneration, glymphatic waste clearance, and the vasculature in one measurement.
本研究探讨多b值、多方向扩散磁共振成像(MRI)评估脑伪扩散(D*)张量各向异性的可行性。我们研究D*张量在以下两方面的潜力:(1)反映脑脊液和血流,以及(2)检测脑小血管疾病(cSVD)和衰老过程中的微血管结构改变。
在3T场强下,对11名健康志愿者进行32个梯度方向的多b值扩散MRI扫描,对29例cSVD患者和14名对照者进行6个方向的扫描。使用基于物理知识的神经网络从体素内不相干运动(IVIM)-扩散张量成像(DTI)模型参数中估计实质慢扩散(D-)张量和伪扩散(D*)张量,进而得出分数各向异性(FA)、平均扩散率(MD)、轴向扩散率(AD)和径向扩散率(RD)。比较侧脑室、第三脑室和第四脑室之间以及大脑中动脉和上矢状窦之间的D张量指标。使用多变量线性回归分析正常外观白质中D张量指标的组间差异,并对年龄和性别进行校正。
D各向异性与脑脊液流动和动脉血流高度一致。FA(D)、MD(D*)、AD(D*)和RD(D*)在第三脑室最高,在第四脑室中等,在侧脑室最低。动脉的MD(D*)、AD(D*)和RD(D*)高于矢状窦。正常外观白质中较高的FA(D*)与cSVD诊断和年龄较大有关,提示微血管结构改变。
使用IVIM-DTI模型进行多b值、多方向扩散分析能够评估脑微观结构、流体流动和微血管结构,在一次测量中提供有关神经退行性变、类淋巴系统废物清除和脉管系统的信息。