基于磁化率成像Brainnetome Atlas脑网络组图谱定量分析脑铁的可行性

目的 探讨基于定量磁化率成像（QSM）脑网络组图谱定量分析脑铁的可行性。方法 将43名右利手健康成年志愿者的QSM图像通过Matlab软件配准及滑处理对应到标准脑，在Brainnetome Atlas脑网络组图谱上选择双侧苍白球、壳核、尾状核、海马、丘脑、额叶、顶叶及枕叶皮质ROI，以Matlab软件测量磁化率值，并对上述脑区手工勾画ROI，测量磁化率值。对软件及手工所测磁化率值与尸检脑组织染色所得铁浓度结果进行相关分析，观察其与年龄的相关性，比较不同性别、侧别间磁敏感值差异。结果 Matlab软件和手工测量磁化率值均以苍白球最高，壳核次之，海马最低；2种方法所测磁化率值均与尸检铁浓度结果呈正相关（r=0.920、0.856，P=0.003、0.014）。Matlab法测得男性额叶皮质磁化率值高于女性（P<0.05），其余部位无显著性别差异（P均>0.05）；2种方法所测磁化率值均无显著侧别差异（P均>0.05）。结论 基于QSM成像Brainnetome Atlas脑网络组图谱脑铁定量方法测量脑铁含量具有较高准确性及可行性；脑铁含量随年龄而增加，额叶皮质铁含量存在性别差异。

Feasibility of quantitative measurement of brain iron by Brainnetome Atlas based on magnetic susceptibility mapping

Objective To explore the feasibility of quantitative measurement of cerebral iron using brain network atlas based on quantitative susceptibility mapping (QSM). Methods QSM images of 43 right-handed healthy adult volunteers were registered, which were smoothed and mapped to the standard brain using Matlab software. ROI of bilateral globus pallidus, putamen, caudate nucleus, hippocampus, thalamus, frontal cortex, parietal cortex and occipital cortex were selected from Brainnetome Atlas. The magnetic susceptibility was measured using Matlab software, and ROI of the above areas were manually sketched and measured. The correlation of the magnetic susceptibility values measured with the above 2 methods and the iron concentration results obtained from brain tissue staining of autopsy were analyzed, and the correlation between the magnetic susceptibility values and age were analyzed. Results The highest measurement value of brain magnetic susceptibility values from Matlab and manually drawn ROI were all found in globus pallidus, then in the putamen, and the lowest was in hippocampus. The brain magnetic susceptibility values measured with Matlab and manual ROI were all highly consistent with autopsy results (r=0.920, P=0.003; r=0.856, P=0.014). The magnetic susceptibility values of male at frontal cortex measured from Matlab ROI was higher than that of female (P<0.05), but no significant difference of the other areas was found between male and female (all P>0.05), nor between left and right hemispheres brain regions measured with 2 methods (all P>0.05). Conclusion Quantitative measurement of cerebral iron based on QSM imaging and Brainnetome Atlas has high accuracy and feasibility. The content of brain iron tends to increase with aging. The magnetic susceptibility values of frontal cortex have sex differences.