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首页> 外文期刊>Academic radiology >Morphologic relationship among the corpus callosum, fornix, anterior commissure, and posterior commissure MRI-based variability study.
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Morphologic relationship among the corpus callosum, fornix, anterior commissure, and posterior commissure MRI-based variability study.

机译:基于MRI的vari体,穹ni,前连合和后连合之间的形态学关系基于MRI的变异性研究。

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RATIONALE AND OBJECTIVES: This study explores morphological relationships and structural variability of the corpus callosum (CC), fornix (Fo), anterior (AC), and posterior commissures (PC). MATERIALS AND METHODS: These structures are extracted automatically on the midsagittal plane. The CC and Fo are modeled using best-fit ellipses. The parameters characterizing these structures and relationships among them are points, distances, angles, and eccentricities. The minimum, maximum and mean values, standard deviations, and coefficients of variation for all parameters are calculated for 62 diversified MRI datasets. Subsequently, the regression analysis and parameter distribution study are performed. RESULTS: The parameters have at least 10% variations. The major axis of CC and eccentricities of CC and Fo vary much less than the other parameters The major axis of CC is approximately parallel to the AC-PC line. The mean eccentricity of each of CC and Fo is greater than 0.95. The most significant correlation (P < .05) is observed between various angles and the angle between the major axes of CC and Fo. The correlation is also significant between other angles and distances. The Weibull distribution characterizes the major axis of CC, and distance between the AC and the most superior point of CC. Distribution of angle between the major axes of CC and Fo is log (logistic), and normal for the AC-PC distance. CONCLUSIONS: The AC-PC distance, used prevalently for brain normalization, is not correlated with any parameters except with the distance between the AC and the most superior point on the body of the CC with P < .05.
机译:理由和目的:本研究探讨了call体(CC),穹ni(Fo),前(AC)和后连合(PC)的形态学关系和结构变异性。材料与方法:这些结构是在矢状中平面自动提取的。 CC和Fo使用最佳拟合椭圆建模。表征这些结构及其之间关系的参数是点,距离,角度和偏心率。为62个多样化的MRI数据集计算所有参数的最小值,最大值和平均值,标准偏差和变异系数。随后,进行回归分析和参数分布研究。结果:参数至少有10%的差异。 CC的主轴以及CC和Fo的偏心距远小于其他参数。CC的主轴大致平行于AC-PC线。 CC和Fo的平均偏心率均大于0.95。在各个角度与CC和Fo主轴之间的角度之间观察到最显着的相关性(P <.05)。其他角度和距离之间的相关性也很重要。威布尔分布表征CC的主轴,以及AC与CC最高点之间的距离。 CC和Fo主轴之间的角度分布是对数(逻辑),对于AC-PC距离是法线。结论:通常用于大脑正常化的AC-PC距离与任何参数均不相关,除了AC与CC身体最高点之间的距离(P <.05)。

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