Piot Elodie, Bagonis Maria, Prieto Juan C, Styner Martin
University of North Carolina, Chapel Hill, United States.
Proc SPIE Int Soc Opt Eng. 2022 Feb-Mar;12036. doi: 10.1117/12.2613201. Epub 2022 Apr 4.
In this work, we present CONTINUITY, a novel, open-source interactive computation and visualization tool for brain connectome data. The connectome processing pipeline performs surface based processing as the main mode of operation. The automated processing includes structural-to-diffusion image co-registration, surface reconstruction for subcortical structures, as well as fiber tractography. The tool supports 3 different probabilistic methods of tractography offered by the tractography frameworks in FSL, MRtrix and DIPY. All methods employ brain and subcortical surfaces as seeds to initialize the tractography algorithms. CONTINUITY implements a friendly Graphical User Interface (GUI) to make the workflow accessible for nontechnical users. Additionally, it offers the possibility to visualize the results of the brain connectome in several interactive plot types such as a hierarchical edge bundling circle plot and over 2D/3D brain templates. This visualization tool can also be applied to connectome matrices computed with other tools and pipelines.
在这项工作中，我们展示了CONTINUITY，这是一种用于脑连接组数据的新颖的开源交互式计算和可视化工具。连接组处理管道以基于表面的处理作为主要操作模式。自动处理包括结构到扩散图像的配准、皮质下结构的表面重建以及纤维束成像。该工具支持FSL、MRtrix和DIPY中的纤维束成像框架提供的3种不同的概率性纤维束成像方法。所有方法都使用大脑和皮质下表面作为种子来初始化纤维束成像算法。CONTINUITY实现了一个友好的图形用户界面（GUI），以使非技术用户也能使用该工作流程。此外，它还提供了以多种交互式绘图类型可视化脑连接组结果的可能性，例如分层边缘捆绑圆形图以及在2D/3D脑模板上显示。这种可视化工具也可应用于使用其他工具和管道计算出的连接组矩阵。
