Evaluation of Automated Brain MR Image Segmentation and Volumetry Methods
Evaluation of Automated Brain MR Image Segmentation and Volumetry Methods
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DOI：
10.1002/hbm.20599
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发表时间：
2009-04-01
影响因子：
4.8
通讯作者：
Lundervold, Arvid
中科院分区：
文献类型：
--
作者：
Klauschen, Frederick;Goldman, Aaron;Lundervold, Arvid
我们比较了软件包 FSL、SPM5 和 FreeSurfer 中提供的三种广泛使用的脑体积测定方法，并使用模拟和真实 MR 脑数据集评估其性能。我们使用 BrainWeb MRI 数据库分析灰质和白质体积测量的准确性及其对图像质量变化的鲁棒性。这些图像基于“黄金标准”参考大脑模板。这使我们能够评估之间（相同的数据集，不同的方法）和分割器内（相同的方法，图像质量的变化）的可比性，对于这两者，我们发现灰质和白质体积的分割结果存在明显的变化。根据方法和图像质量，计算出的体积与灰质和白质参考值的偏差高达 >10%。 SPM5 的灵敏度最佳，SPM5 和 FSL 以及面糊中灰质和白质的体积精度与 FreeSurfer 相似。 FSL 显示了白色的最高稳定性（模拟数据为 20%，真实数据集平均为 24%，而方法内性能分析发现尖端的体积差异大于 15%。由于结果之间的差异与疾病中观察到的体积变化达到相同的数量级，因此这些影响限制了分割方法用于跟踪个体患者随时间的体积变化的分割方法的可用性，在规划和分析脑体积研究时应考虑到这一点。Hum Brain Mapp 30:1310-1327, 2009。(C) 2008 Wiley-Liss, Inc.
We compare three widely used brain volumetry methods available in the software packages FSL, SPM5, and FreeSurfer and evaluate their performance using simulated and real MR brain data sets. We analyze the accuracy of gray and white matter Volume measurements and their robustness against changes of image quality using the BrainWeb MRI database. These images are based on "gold-standard" reference brain templates. This allows us to assess between- (same data set, different method) and also within-segmenter (same method, variation of image quality) comparability, for both of which we find pronounced variations in segmentation results for gray and white matter volumes. The calculated volumes deviate up to >10% from the reference values for gray and white matter depending on method and image quality. Sensitivity is best for SPM5, volumetric accuracy for gray and white matter was similar in SPM5 and FSL and batter than in FreeSurfer. FSL showed the highest stability for white (20% for the simulated data and 24% on average for the real data sets, whereas within-method performance analysis uncovered volume differences of tip to >15%. Since the discrepancies between results reach the same order of magnitude as volume changes observed in disease, these effects limit the usability of the segmentation methods for following volume changes in individual patients over time and should be taken into account during the planning and analysis of brain volume studies. Hum Brain Mapp 30:1310-1327, 2009. (C) 2008 Wiley-Liss, Inc.