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Assessing the performance of atlas-based prefrontal brain parcellation in an aging cohort

机译:评估老化人群中基于图集的前额叶脑剥除的表现

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OBJECTIVE: It is unclear whether atlas-based parcellation is suitable in aging cohorts because age-related brain changes confound the performance of automatic methods. We assessed atlas-based parcellation of the prefrontal lobe in an aging population using visual assessment and volumetric and spatial concordance. METHODS: We used an atlas-based approach to parcellate brain MR images of 90 non-demented healthy adults, aged 72.7 ?? 0.7 years, and assessed performance. RESULTS: Volumetric assessment showed that both single-atlas- and multi-atlas-based methods performed acceptably (intraclass correlation coefficient [ICC], 0.74-0.76). Spatial overlap measurements showed that multi-atlas (dice coefficient [DC], 0.84) offered an improvement over the single-atlas (DC, 0.75-0.78) approach. Visual assessment also showed that multi-atlas outperformed single atlas and identified an additional postprocessing step of cerebrospinal fluid removal, enhancing concordance (intraclass correlation coefficient, 0.86; DC, 0.89). CONCLUSIONS: Atlas-based parcellation performed reasonably well in the aging population. Rigorous performance assessment aided method refinement and emphasizes the importance of age matching and postprocessing. Further work is required in more varied subjects.
机译:目的:目前尚不清楚基于图谱的切碎术是否适合年龄较大的人群,因为与年龄相关的大脑变化会混淆自动方法的性能。我们使用视觉评估以及空间和空间一致性评估了老年人群中前额叶的基于图谱的切分。方法:我们使用基于图谱的方法,对90位72.7岁的非痴呆健康成年人的脑部MR图像进行了分类。 0.7年,并评估了性能。结果:体积评估显示,基于单图集和多图集的方法均可接受(类内相关系数[ICC],0.74-0.76)。空间重叠测量显示,多图集(骰子系数[DC],0.84)比单图集(DC,0.75-0.78)有改进。视觉评估还显示,多图谱优于单图谱,并确定了去除脑脊液的额外后处理步骤,从而增强了一致性(类内相关系数,0.86; DC,0.89)。结论:在人口老龄化中,基于Atlas的分割效果相当好。严格的性能评估有助于方法的完善,并强调了年龄匹配和后处理的重要性。在更多不同的主题上需要进一步的工作。

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