将Java图像科学工具包与电子科学平台的集成
Stephen M Damon1, Sahil Panjwani1, Shunxing Bao1
1Vanderbilt University, Department of Electrical Engineering and Computer Science.
概括
现在,Java图像科学工具包 (JIST) 可以与外部工具和云平台无集成. 这种增强允许使用云计算和远程数据访问的灵活医疗图像分析管道.
科学领域:
- 医疗图像分析 医学图像分析
- 电子科学平台 电子科学平台
- 计算神经科学是一种计算神经科学.
背景情况:
- 医疗图像分析管道经常使用各种软件包.
- 此前,Java图像科学工具包 (JIST) 与其他电子科学平台的集成有限.
研究的目的:
- 加强JIST与外部工具和电子科学平台的整合能力.
- 为了使JIST能够利用云计算资源和远程数据源.
主要方法:
- 开发了一个接口,用于将外部编译的包集成为可拖动模块.
- 创建了一个与神经成像信息学工具和资源清算中心云环境 (NITRC-CE) 的集成接口,用于云资源利用.
- 定义了一个外部数据源,连接到 eXtensible Neuroimaging Archive Toolkit (XNAT) 以进行远程数据检索.
主要成果:
- 现在可以将JIST模块连接到外部处理和监控.
- 用户可以通过NITRC-CE启动和终止云节点进行计算任务.
- 远程数据从XNAT可以查询和检索,使管道没有本地数据存储.
结论:
- JIST的功能超越了Java代码,使其能够与电子科学平台无接口.
- 这些升级提高了医疗图像分析管道的灵活性和可访问性.
- 增强的JIST促进了云和远程数据资源的高效利用.
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