BECA: A Software Tool for Integrated Visualization of Human Brain Data

被引：0
|
作者：
Li, Huang [1 ,2 ]
Fang, Shiaofen [1 ]
Zigon, Bob [1 ]
Sporns, Olaf [3 ]
Saykin, Andrew J. [2 ]
Goni, Joaquin [4 ,5 ,6 ]
Shen, Li [1 ,2 ]
机构：
[1] Purdue Univ Indianapolis, Comp & Informat Sci, Indianapolis, IN 46202 USA
[2] Indiana Univ Sch Med, Radiol & Imaging Sci, Indianapolis, IN 46202 USA
[3] Indiana Univ, Psychol & Brain Sci, Bloomington, IN USA
[4] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA
[5] Purdue Univ, Weldon Sch Biomed Engn, W Lafayette, IN 47907 USA
[6] Purdue Univ, Purdue Inst Integrat Neurosci, W Lafayette, IN 47907 USA
来源：
BRAIN INFORMATICS, BI 2017 | 2017年 / 10654卷
关键词：
Visualization; Human brain data; Plugin platform; Software architecture;
D O I：
10.1007/978-3-319-70772-3_27
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Visualization plays an important role in helping neuroscientist understanding human brain data. Most publicly available software focuses on visualizing a specific brain imaging modality. Here we present an extensible visualization platform, BECA, which employ a plugin architecture to facilitate rapid development and deployment of visualization for human brain data. This paper will introduce the architecture and discuss some important design decisions in implementing the BECA platform and its visualization plugins.
引用
收藏
页码：285 / 291
页数：7
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