Tractography dissection variability: what happens when 42 groups dissect 14 white matter bundles on the same dataset?
Tractography dissection variability: what happens when 42 groups dissect 14 white matter bundles on the same dataset?
复制标题
纤维束成像解剖变异性：当 42 个组在同一数据集上解剖 14 个白质束时会发生什么？
DOI：
10.1101/2020.10.07.321083
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Schilling K
中科院分区：
文献类型：
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作者：
Schilling K
利用弥散性核磁共振纤维束成像技术进行白质束分割已成为识别活体人脑白质纤维通路的首选方法。然而，像其他复杂数据的分析一样，在分割协议和技术上有相当大的可变性。这可能导致相同的预期白质通路的不同重建，这直接影响神经束造影结果、量化和解释。在这项研究中，我们的目的是评估和量化的可变性，从不同的协议束分割产生。通过对包括解剖学家、临床医生和算法开发人员在内的纤维束造影用户的公开征集，42个独立的团队获得了经过处理的人类全脑流线集，并被要求分割6个受试者的14个白质束。我们总共收到了57种不同的束分割协议，这些协议可以对每个光纤路径的协议之间的一致性和差异性进行详细的基于体积和基于流线的分析。结果表明，即使给定完全相同的底层流线集，束分割协议之间的可变性也大于虚拟解剖过程中所有其他可变性来源，包括协议内部的可变性和受试者之间的可变性。为了促进束解剖在常规临床环境中的应用，并作为一种基本的分析工具，未来的努力必须旨在解决和减少这种异质性。虽然需要外部验证来验证束解剖的准确性，但减少异质性是向可重复性研究迈出的一步，可以通过使用标准的白质束命名和定义以及在解剖过程中精心选择的约束和决策来实现。
White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white matter fiber pathwaysin vivoin human brains. However, like other analyses of complex data, there is considerable variability in segmentation protocols and techniques. This can result in different reconstructions of the same intended white matter pathways, which directly affects tractography results, quantification, and interpretation. In this study, we aim to evaluate and quantify the variability that arises from different protocols for bundle segmentation. Through an open call to users of fiber tractography, including anatomists, clinicians, and algorithm developers, 42 independent teams were given processed sets of human whole-brain streamlines and asked to segment 14 white matter fascicles on six subjects. In total, we received 57 different bundle segmentation protocols, which enabled detailed volume-based and streamline-based analyses of agreement and disagreement among protocols for each fiber pathway. Results show that even when given the exact same sets of underlying streamlines, the variability across protocols for bundle segmentation is greater than all other sources of variability in the virtual dissection process, including variability within protocols and variability across subjects. In order to foster the use of tractography bundle dissection in routine clinical settings, and as a fundamental analytical tool, future endeavors must aim to resolve and reduce this heterogeneity. Although external validation is needed to verify the anatomical accuracy of bundle dissections, reducing heterogeneity is a step towards reproducible research and may be achieved through the use of standard nomenclature and definitions of white matter bundles and well-chosen constraints and decisions in the dissection process.