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THE XNAT IMAGING INFORMATICS PLATFORM

THE XNAT IMAGING INFORMATICS PLATFORM
XNAT 成像信息学平台
批准号:
10002330
负责人:
Daniel Scott Marcus
金额:
$65.35万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2022-08-31

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中文摘要
翻译
项目总结 这项建议旨在继续发展XNAT。XNAT是一个影像信息学平台 为图像和相关数据的常见管理和生产任务提供便利。我们将开发 下一代XNAT技术,支持成像研究的持续发展。发展将 重点是对现有系统进行现代化改造和扩展。在目标1中,我们将实现新Web应用程序 基础架构,包括新的归档文件管理系统、用于管理跨服务的新事件总线 编排和一个新的Java脚本库,以简化用户界面开发。我们还将实施新的 核心服务,包括Docker Container服务、动态脚本引擎和全球XNAT联合。 在目标2中,我们将在目标1中开发的服务的基础上实施两项创新的新功能。 XNAT Publisher框架将通过自动创建和管理来简化数据共享过程 遵循数据发布和管理的最佳做法发布数据。XNAT机器学习 框架将通过将XNAT与 TensorFlow机器学习环境,并实施出处和其他监控功能 帮助避免经常困扰机器学习努力的陷阱。对于目标1和目标2,所有功能都将是 在积极使用XNAT的现实世界科学计划的背景下开发和评估 站台。在目标3中,我们将向XNAT社区提供广泛支持,包括培训讲习班、 在线文档、讨论论坛和。这些活动将同时针对XNAT用户和 开发商。
英文摘要
PROJECT SUMMARY This proposal aims to continue the development of XNAT. XNAT is an imaging informatics platform designed to facilitate common management and productivity tasks for imaging and associated data. We will develop the next generation of XNAT technology to support the ongoing evolution of imaging research. Development will focus on modernizing and expanding the current system. In Aim 1, we will implement new web application infrastructure that includes a new archive file management system, a new event bus to manage cross-service orchestration and a new Javascript library to simplify user interface development. We will also implement new core services, including a Docker Container service, a dynamic scripting engine, and a global XNAT federation. In Aim 2, we will implement two innovative new capabilities that build on the services developed in Aim 1. The XNAT Publisher framework will streamline the process of data sharing by automating the creation and curation of data releases following best practices for data publication and stewardship. The XNAT Machine Learning framework will streamline the development and use of machine learning applications by integrating XNAT with the TensorFlow machine learning environment and implementing provenance and other monitoring features to help avoid the pitfalls that often plague machine learning efforts. For both Aim 1 and 2, all capabilities will be developed and evaluated in the context of real world scientific programs that are actively using the XNAT platform. In Aim 3, we will provide extensive support to the XNAT community, including training workshops, online documentation, discussion forums, and . These activities will be targeted at both XNAT users and developers.
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An Imaging Repository for the Cerebrovascular Disease Knowledge Portal (iCDKP)
  • 批准号:
    10713160
  • 项目类别:
  • 资助金额:
    $75.35万
  • 财政年份:
    2023
  • 负责人:
    Daniel Scott Marcus
  • 依托单位:
THE INFORMATICS, DATA ANALYSIS, AND STATISTICS CORE (IDASC)
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    10283066
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Sustaining the Integrative Imaging Informatics for Cancer Research (I3CR) Center
  • 批准号:
    10187782
  • 项目类别:
  • 资助金额:
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  • 财政年份:
    2021
  • 负责人:
    Daniel Scott Marcus
  • 依托单位:
Sustaining the Integrative Imaging Informatics for Cancer Research (I3CR) Center
  • 批准号:
    10608104
  • 项目类别:
  • 资助金额:
    $82.57万
  • 财政年份:
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