脑队列中基于体素测量的视觉海量分析

Guohao Zhang, P. Kochunov, L. Hong, H. Carr, Jian Chen
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引用次数: 2

摘要

我们提出了一个可视化原型,用于比较分析脑队列中三维(3D)脑弥散张量成像(DTI)构建的各向异性(FA)分布。这个原型可以让大脑科学家检查荟萃分析(多个小型试验或多地点研究的汇总分析)结果,以确定群体中的差异。交互式并排柱状图显示了用户选择图集定义的兴趣区域(roi)中FA比较的多个统计结果。一个无遮挡的二维语义合并树进一步显示了FA值的全局分布。每个树弧上的两个直方图显示了由该弧分支在队列中表示的基于体素的FA分布。交互技术支持本地和全局roi查询的刷刷和链接。roi可以从图集中定义,也可以通过交互选择。我们在案例研究和访谈中报告验证结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Visual Mega-Analysis of Voxel-based Measurement in Brain Cohorts
We present a visualization prototype for comparative analysis of factional anisotropy (FA) distributions constructed from three-dimensional (3D) brain diffusion tensor imaging (DTI) in brain cohorts. The prototype lets brain scientists examine meta-analysis (the pooled analysis of multiple smaller trials or multi-site studies) results for identifying differences in cohorts. Interactive side-by-side bar charts show multiple statistical results of FA comparisons in regions of interest (ROIs) defined by user-chosen atlas. An occlusion-free two-dimensional (2D) semantic merge tree further displays the global distribution of FA values. Two histograms on each tree arc reveal voxel-based FA distributions represented by that arc branch in cohorts. Interaction techniques support brushing-and-linking of local and global ROIs queries. ROIs can be defined from atlas or select through interaction. We report validation results in a case study and an interview.
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