Department of Radiology, University of Iowa, Iowa City, IA 52242, USA.
Medical Scientist Training Program, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
Tomography. 2024 Jul 11;10(7):1074-1088. doi: 10.3390/tomography10070081.
The MR transverse relaxation rate, R2*, has been widely used to detect iron and myelin content in tissue. However, it is also sensitive to macroscopic inhomogeneities. One approach to correct for the effect is to fit gradient-echo signals with the three-parameter model, a sinc function-weighted monoexponential decay. However, such three-parameter models are subject to increased noise sensitivity. To address this issue, this study presents a two-stage fitting procedure based on the three-parameter model to mitigate the effect and reduce the noise sensitivity of R2* measurement in the mouse brain at 7T. MRI scans were performed on eight healthy mice. The gradient-echo signals were fitted with the two-stage fitting procedure to generate R2corr_t*. The signals were also fitted with the monoexponential and three-parameter models to generate R2nocorr* and R2corr*, respectively. Regions of interest (ROIs), including the corpus callosum, internal capsule, somatosensory cortex, caudo-putamen, thalamus, and lateral ventricle, were selected to evaluate the within-ROI mean and standard deviation (SD) of the R2* measurements. The results showed that the Akaike information criterion of the monoexponential model was significantly reduced by using the three-parameter model in the selected ROIs ( = 0.0039-0.0078). However, the within-ROI SD of R2corr* using the three-parameter model was significantly higher than that of the R2nocorr* in the internal capsule, caudo-putamen, and thalamus regions ( = 0.0039), a consequence partially due to the increased noise sensitivity of the three-parameter model. With the two-stage fitting procedure, the within-ROI SD of R2corr* was significantly reduced by 7.7-30.2% in all ROIs, except for the somatosensory cortex region with a fast in-plane variation of the gradient field ( = 0.0039-0.0078). These results support the utilization of the two-stage fitting procedure to mitigate the effect and reduce noise sensitivity for R2* measurement in the mouse brain.
磁共振横向弛豫率 R2* 广泛用于检测组织中的铁和髓鞘含量。然而,它也对宏观不均匀性敏感。一种校正这种效应的方法是使用三参数模型拟合梯度回波信号,即正弦函数加权单指数衰减。然而,这种三参数模型容易受到噪声敏感性的影响。为了解决这个问题,本研究提出了一种基于三参数模型的两阶段拟合程序,以减轻效应并降低 7T 小鼠大脑中 R2测量的噪声敏感性。对 8 只健康小鼠进行了 MRI 扫描。使用两阶段拟合程序对梯度回波信号进行拟合,生成 R2corr_t。使用单指数和三参数模型分别对信号进行拟合,生成 R2nocorr和 R2corr。选择感兴趣区域(ROI),包括胼胝体、内囊、体感皮层、尾状核、丘脑和侧脑室,以评估 ROI 内 R2测量的平均值和标准差(SD)。结果表明,在选定的 ROI 中,使用三参数模型显著降低了单指数模型的赤池信息量准则( = 0.0039-0.0078)。然而,在内部囊、尾状核和丘脑区域,使用三参数模型的 R2corr的 ROI 内 SD 明显高于 R2nocorr*( = 0.0039),这部分是由于三参数模型的噪声敏感性增加所致。使用两阶段拟合程序,除了体感皮层区域由于梯度场的平面内变化较快( = 0.0039-0.0078)外,所有 ROI 中 R2corr的 ROI 内 SD 均显著降低了 7.7%-30.2%。这些结果支持使用两阶段拟合程序来减轻效应并降低小鼠大脑中 R2测量的噪声敏感性。