Measurement of cortical thickness using an automated 3-D algorithm: A validation study
Measurement of cortical thickness using an automated 3-D algorithm: A validation study
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DOI：
10.1006/nimg.2000.0652
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发表时间：
2001-02-01
期刊：
影响因子：
5.7
通讯作者：
Evans, AC
中科院分区：
文献类型：
--
作者：
Kabani, N;Le Goualher, G;Evans, AC
进行了一项验证研究，以评估MacDonald等人（1999）开发的用于测量皮质厚度的算法的准确性。该算法通过从MRI扫描中对大脑皮层的内表面和外表面进行3-D提取来自动确定皮层厚度。在40个大脑MRI的20个区域（每个半球中发现10个皮质区）上使用标记灰CSF和灰白界面的手动方法来验证算法。这些区域是在整个皮层中选择的，以获得对算法性能的广泛评估。通过解剖学家标记所选脑回的CSF灰色和灰白色边界，并通过允许算法确定CSF灰色和灰白色边界以及相同区域的相应皮质厚度来确定准确性。使用总体ANOVA和每个区域的配对t检验对手动和自动方法的结果进行统计学比较。手动和自动方法是一致的，但4的20个地区测试。两种方法之间存在显著差异的四个区域是左侧和右侧海马、右侧楔叶和右侧海马旁。我们的结论是，自动算法是有效的，大多数的皮质，并提供了一个可行的替代手动方法确定皮质厚度在体内。然而，在测量前面提到的区域时应谨慎，其中算法的结果可能会受到周围灰色结构的影响。(C)北京：科学出版社.
A validation study was conducted to assess the accuracy of the algorithm developed by MacDonald et al. (1999) for measuring cortical thickness. This algorithm automatically determines the cortical thickness by 3-D extraction of the inner and outer surfaces of the cerebral cortex from an MRI scan. A manual method of tagging the grey-csf and grey-white interface was used on 20 regions (10 cortical areas found in each hemisphere) in 40 MRIs of the brain to validate the algorithm. The regions were chosen throughout the cortex to get broad assessment of the algorithm's performance. Accuracy was determined by an anatomist tagging the csf-grey and grey-white borders of selected gyri and by allowing the algorithm to determine the csf-grey and grey-white borders and the corresponding cortical thickness of the same region. Results from the manual and automatic methods were statistically compared using overall ANOVA and paired t tests for each region. The manual and automatic methods were in agreement for all but 4 of the 20 regions tested. The four regions where there were significant differences between the two methods were the insula left and right, the right cuneus, and the right parahippocampus. We conclude that the automatic algorithm is valid for most of the cortex and provides a viable alternative to manual methods of determining cortical thickness in vivo. However, caution should be taken when measuring the regions mentioned previously where the results of the algorithm can be biased by surrounding grey structures. (C) 2001 Academic Press.