Homology and topology based metrics for evaluating cortical parcellations generated using diffusion MRI.
Homology and topology based metrics for evaluating cortical parcellations generated using diffusion MRI.
复制标题
基于同源性和拓扑的指标，用于评估使用扩散 MRI 生成的皮质分区。
DOI：
10.1109/embc.2014.6943767
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Grabowski,Thomas
中科院分区：
文献类型：
--
作者：
Tungaraza,Rosalia;Mehta,Sonya;Grabowski,Thomas
当使用扩散MRI分割大脑皮层时，所使用的信息的模态和工作流程程序因素可以对所得到的分割产生显著影响。目前还没有关于最佳实践处理方案的共识，也没有在体内可用的基础事实。汇聚间接证据已用于比较包裹结果，包括：（1）基于不同模态的皮质包裹比较;（2）独立采集的可重复性;（3）模态或受试者之间的一致性;以及（4）基于任务或rsfMRI数据分割区域功能不同的程度。对于这些，我们添加了一个额外的策略，其中parcellation结果进行评估的基础上已知的组织原则的大脑，特别是半球间的同源性和拓扑结构，从而允许独立于另一个成像模式或采集每个主题的结果的评估。我们提出了这些措施，以指导改善采集，重建，和/或聚类方法在扩散MRI分割的过程中。
When using diffusion MRI for segmenting the cerebral cortex, the modality of information used and workflow procedural factors can have significant effects on the resulting parcellation. There is as yet no consensus on best practice processing protocols, and no ground truth is available in vivo. Converging indirect evidence has been used to compare parcellation outcomes, including: (1) comparison of cortical parcellations based on different modalities; (2) reproducibility across independent acquisitions; (3) consistency across modality or subject; and (4) the extent to which the segmented regions are functionally distinct based on task or rsfMRI data. To these we add an additional strategy wherein parcellation results are assessed based on known organizational principles of the brain, specifically inter-hemispheric homology and topology, thereby permitting assessment of results per subject independently of another imaging modality or acquisition. We propose these measures to guide improvements in acquisition, reconstruction, and/or clustering approaches during the process of diffusion MRI parcellation.