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Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling

机译:多发性硬化症的皮质厚度变异性:病变分割和填充的作用

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Cortical Thickness (CTh) estimation from Magnetic Resonance Imaging (MRI) data of Multiple Sclerosis (MS) patients is biased at variable extent by the presence of white matter lesions. To overcome this limitation, several methods have been developed. In this study, we evaluate the impact on CTh measurements of different lesion corrections obtained combining three lesion segmentations (manual or automatic) with three intensity filling methods at whole brain and regional scale. Mean relative CTh differences (MRE) after lesion correction with automatic or manually-based methods was used to size the correction effects. Considered the full 3×3 factorial design, an analysis of variance was performed with lesion segmentation and filling as factors. The estimated CTh was remarkably similar between manually-based (gold standard) and automatic corrections with MRE generally well under 2% in all pairwise comparisons and spatial scale. However, a higher MRE was observed using FSL filling. Although the overall CTh agreement, these results suggest that the lesion filling approach provided with FSL library (FMRIB group, Oxford, UK), regardless of the lesion segmentation method used, can deliver an underestimation in the order of 1% of MRE compared to other corrections.
机译:多发性硬化症(MS)患者的磁共振成像(MRI)数据估计的皮层厚度(CTh)在不同程度上因白质病变的存在而有偏差。为了克服该限制,已经开发了几种方法。在这项研究中,我们评估了在全脑和区域范围内将三种病变分割(手动或自动)与三种强度填充方法相结合而获得的不同病变校正对CTh测量的影响。使用自动或手动方法校正病变后的平均相对CTh差异(MRE)来确定校正效果的大小。考虑到完整的3×3因子设计,以病灶分割和填充为因子进行了方差分析。在所有成对比较和空间比例中,基于手动的(黄金标准)和基于MRE的自动校正之间的估计CTh显着相似,通常都远低于2%。但是,使用FSL填充可观察到更高的MRE。尽管总体CTh协议一致,但这些结果表明,无论使用何种病变分割方法,FSL库提供的病变填充方法(FMRIB组,英国牛津)均可以提供比MRE低1%的低估。其他更正。

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