对健康受试者的磁共振图像进行额叶、顶叶、颞叶和枕叶的可靠人工分割

Arun L.W. Bokde , Stefan J. Teipel , Robert Schwarz , Gerda Leinsinger , Katharina Buerger , Tobias Moeller , Hans-Juergen Möller , Harald Hampel
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引用次数: 39

摘要

背景:从磁共振成像(MRI)数据中可靠地测量脑叶体积是一个挑战。目的:描述一种基于地标的脑容量分割方法。方法:基于解剖标志和几何定义相结合的分割方法。第一步,如前所述,是对大脑表面的四个脑叶进行分割。脑叶之间的内部边界在脑轴向切片上明确。评估者内部和评估者之间的信度是由两名独立评估者对10名健康对照者的MRI扫描确定的。结果:脑叶容积测量的分级内相对误差(及分级内相关系数)范围为0.81% ~ 3.85%(0.97 ~ 0.99)。等级间相对误差(和等级内相关系数)范围为0.55% ~ 3.09%(0.94 ~ 0.99)。结论:该技术已被证明具有较高的内部和内部可靠性。目前的方法提供了一种获得4脑叶体积估计的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliable manual segmentation of the frontal, parietal, temporal, and occipital lobes on magnetic resonance images of healthy subjects

Background: It is a challenge to reliably measure the lobar volumes from magnetic resonance imaging (MRI) data.

Objective: Description of a landmark-based method for volumetric segmentation of the brain into the four cerebral lobes from MR images.

Method: The segmentation method relies on a combination of anatomical landmarks and geometrical definitions. The first step, described previously, is a segmentation of the four lobes on the surface of the brain. The internal borders between the lobes are defined on the axial slices of the brain. The intra- and inter- rater reliability was determined from the MRI scans of a group of 10 healthy control subjects measured by 2 independent raters.

Results: The intra-rater relative error (and intra-class correlation coefficient) of the lobar volume measures ranged from 0.81% to 3.85% (from 0.97 to 0.99). The inter-rater relative error (and intra-class correlation coefficient) ranged from 0.55% to 3.09% (from 0.94 to 0.99).

Conclusion: This technique has been shown to have high intra- and inter-rater reliability. The current method provides a method to obtain volumetric estimates of the 4 cerebral lobes.

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