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Construction of a Deformable Spatiotemporal MRI Atlas of the Fetal Brain: Evaluation of Similarity Metrics and Deformation Models

机译:胎儿大脑的可变形时空MRI图谱的构建:相似度量和变形模型的评估

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摘要

The development and identification of best methods in fetal brain MRI analysis is crucial as we expect an outburst of studies on groupwise and longitudinal analysis of early brain development in the upcoming years. To address this critical need, in this paper, we have developed a mathematical framework for the construction of an unbiased deformable spatiotemporal atlas of the fetal brain MRI and compared it to alternative configurations in terms of similarity metrics and deformation models. Our contributions are twofold: first we suggest a novel approach to fetal brain spatiotemporal atlas construction that shows high capability in capturing anatomic variation between subjects; and second, within our atlas construction framework we evaluate and compare a set of plausible configurations for inter-subject fetal brain MRI registration and identify the most accurate approach that can potentially lead to most accurate results in population atlas construction, atlas-based segmentation, and group analysis. Our evaluation results indicate that symmetric diffeomorphic deformable registration with cross correlation similarity metric outperforms other configurations in this application and results in sharp unbiased atlases that can be used in fetal brain MRI analysis.
机译:胎儿脑MRI分析中最佳方法的开发和鉴定至关重要,因为我们期望在未来几年中出现大量有关早期大脑发育的分组和纵向分析研究。为了满足这一关键需求,在本文中,我们已经开发了一个数学框架,用于构建胎儿脑MRI的无偏差可变形时空图集,并将其与相似性度量和变形模型方面的替代配置进行了比较。我们的贡献是双重的:首先,我们提出了一种新颖的胎脑时空图集构建方法,该方法在捕获受试者之间的解剖变异方面具有很高的能力。其次,在我们的图集构建框架中,我们评估并比较了一组用于受试者间胎儿脑MRI配准的合理配置,并确定了最有可能导致总体图集构建,基于图集分割和最准确结果的方法。小组分析。我们的评估结果表明,具有互相关相似度度量的对称微分形可变形配准在此应用中优于其他配置,并导致可用于胎儿脑MRI分析的清晰无偏图集。

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