Pycortex: an interactive surface visualizer for fMRI.

Pycortex: an interactive surface visualizer for fMRI.
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DOI:
10.3389/fninf.2015.00023
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发表时间:
2015
影响因子:
3.5
通讯作者:
Gallant JL
Gallant JL
中科院分区:
医学3区
文献类型:
--
作者:
Gao JS;Huth AG;Lescroart MD;Gallant JL

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功能磁共振成像的表面可视化提供了皮质活动的全面视图。然而,表面可视化很难生成,并且最常见的可视化技术依赖于不必要的插值,这限制了生成的地图的保真度。此外,使用当前可用的工具很难理解扁平化皮质表面与底层 3D 解剖结构之间的关系。为了解决这些问题,我们开发了 pycortex,一个用于交互式表面映射和可视化的 Python 工具箱。 Pycortex 利用现代显卡的强大功能,在每个像素的基础上对体积数据进行采样,从而实现整个表面上体素网格的密集且准确的映射。解剖和功能信息可以投射到皮质表面。该表面可以交互地膨胀和压平,帮助解释解剖表面和压平的皮质片之间的对应关系。 pycortex 的输出可以使用 WebGL 来查看,WebGL 是一种与现代网络浏览器兼容的技术。这使得复杂的功能磁共振成像表面图可以在网上广泛分发,而无需安装复杂的软件。
Surface visualizations of fMRI provide a comprehensive view of cortical activity. However, surface visualizations are difficult to generate and most common visualization techniques rely on unnecessary interpolation which limits the fidelity of the resulting maps. Furthermore, it is difficult to understand the relationship between flattened cortical surfaces and the underlying 3D anatomy using tools available currently. To address these problems we have developed pycortex, a Python toolbox for interactive surface mapping and visualization. Pycortex exploits the power of modern graphics cards to sample volumetric data on a per-pixel basis, allowing dense and accurate mapping of the voxel grid across the surface. Anatomical and functional information can be projected onto the cortical surface. The surface can be inflated and flattened interactively, aiding interpretation of the correspondence between the anatomical surface and the flattened cortical sheet. The output of pycortex can be viewed using WebGL, a technology compatible with modern web browsers. This allows complex fMRI surface maps to be distributed broadly online without requiring installation of complex software.