Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States of America.
Center for Health Sciences, SRI International, Menlo Park, CA, United States of America.
Phys Med Biol. 2023 Feb 21;68(5). doi: 10.1088/1361-6560/acb30b.
To document the bias of thefree water model of diffusion MRI (dMRI) signal vis-à-vis amodel which, in addition to diffusion, incorporates compartment-specific proton density (PD), T1 recovery during repetition time (TR), and T2 decay during echo time (TE).Both models assume that volume fractionof the total signal in any voxel arises from the free water compartment () such as cerebrospinal fluid or edema, and the remainder (1) from hindered water () which is constrained by cellular structures such as white matter (WM). Theandmodels are compared on a synthetic dataset, using a range of PD, T1 and T2 values. We then fit the models to anhealthy brain dMRI dataset. For bothanddata we use experimentally feasible TR, TE, signal-to-noise ratio (SNR) and physiologically plausible diffusion profiles.From the simulations we see that the difference between the estimatedandis largest for mid-range ground-truth, and it increases as SNR increases. The estimation of volume fractionis sensitive to the choice of model,or, but the estimated diffusion parameters are robust to small perturbations in the simulation.is more accurate and precise than. In the white matter (WM) regions of theimages,is lower than.In dMRI models for free water, accounting for compartment specific PD, T1 and T2, in addition to diffusion, improves the estimation of model parameters. This extra model specification attenuates the estimation bias of compartmental volume fraction without affecting the estimation of other diffusion parameters.
记录扩散磁共振成像(dMRI)信号的自由水模型的偏差,该模型除了扩散外,还结合了特定隔室的质子密度(PD)、重复时间(TR)期间的 T1 恢复和回波时间(TE)期间的 T2 衰减。这两个模型都假设任何体素中总信号的体积分数来自自由水隔室(),例如脑脊液或水肿,其余的(1)来自受限水(),受细胞结构的限制,如白质(WM)。在合成数据集上比较了和模型,使用了一系列 PD、T1 和 T2 值。然后,我们将模型拟合到健康大脑 dMRI 数据集上。对于和数据,我们使用实验上可行的 TR、TE、信噪比(SNR)和生理上合理的扩散分布。从模拟中我们可以看出,估计的和之间的差异在中等范围的真实值时最大,并且随着 SNR 的增加而增加。体积分数的估计对模型或的选择敏感,但模拟中的小扰动对估计的扩散参数具有鲁棒性。比更准确和精确。在图像的白质(WM)区域中,比。在除了扩散之外还考虑特定隔室 PD、T1 和 T2 的自由水 dMRI 模型中,改善了模型参数的估计。这种额外的模型规范减轻了隔室体积分数的估计偏差,而不影响其他扩散参数的估计。