In this paper, we present a novel application, 3D+Time Brain View, for the stereoscopic visualization of functional Magnetic Resonance Imaging (fMRI) data gathered from participants exposed to unfamiliar spoken languages. An analysis technique based on Independent Component Analysis (ICA) is used to identify statistically significant clusters of brain activity and their changes over time during different testing sessions. That is, our system illustrates the temporal evolution of participants’ brain activity as they are introduced to a foreign language through displaying these clusters as they change over time. The raw fMRI data is presented as a stereoscopic pair in an immersive environment utilizing passive stereo rendering. The clusters are presented using a ray casting technique for volume rendering. Our system incorporates the temporal information and the results of the ICA into the stereoscopic 3D rendering, making it easier for domain experts to explore and analyze the data.
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机译：在本文中，我们提出了一种新颖的应用程序，即3D + Time Brain View，用于从暴露于不熟悉的口语语言的参与者那里收集的功能性磁共振成像（fMRI）数据的立体可视化。基于独立成分分析（ICA）的分析技术可用于识别大脑活动的统计显着性簇及其在不同测试期间随时间的变化。也就是说，我们的系统通过显示参与者随着时间的变化而显示的集群，从而说明参与者的大脑活动随时间的变化。在使用被动立体渲染的沉浸式环境中，原始fMRI数据以立体对的形式呈现。使用射线投射技术对群集进行渲染，以进行体积渲染。我们的系统将时间信息和ICA的结果合并到立体3D渲染中，从而使领域专家更容易探索和分析数据。
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