Continued Development and Maintenance of MriStudio

MriStudio的持续开发和维护

• 批准号: 9896853
• 负责人: MICHAEL I MILLER
• 金额: $ 36.44万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2023-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9896853
• 关键词: Adopted; Age; Algorithms; Anatomy; Architecture; Archives; Atlases; Bedside Testings; Brain; Brain Mapping; Charge; Clinical; Clinical Data; Collection; Communities; Computer software; Computers; Data; Data Analyses; Development; Diffusion Magnetic Resonance Imaging; Digital Imaging and Communications in Medicine; Disease; Education; Environment; Faculty; Family; Functional Magnetic Resonance Imaging; Grant; Hospitals; Image; Image Analysis; Institutional Review Boards; Language; Lesion; Libraries; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Maintenance; Manuals; Memory; Methods; Patients; Physiological; Predisposition; Process; Publications; Quality Control; Reporting; Resources; Rest; Running; Scientist; Services; Spin Labels; Statistical Data Interpretation; Structure; Supercomputing; System; Technology; Testing; Translational Research; Transplantation; Universities; Update; Work; analysis pipeline; application programming interface; base; cloud platform; computerized data processing; data exchange; data quality; file format; firewall; image processing; imaging Segmentation; improved; interest; large scale data; multimodality; online resource; portability; programs; segmentation algorithm; software as a service; statistics; tool; tractography; web interface; white matter

The purpose of this grant is to support the continued development and maintenance of DtiStudio/MriStudio/ MriCloud software family, which was developed at the PIs’ lab in Johns Hopkins University. DtiStudio was introduced in 2001 and remains one of the most widely used programs to process diffusion tensor imaging (DTI) data. MriStudio, which consists of DiffeoMap and RoiEditor, was introduced in 2007 and provide a unique environment in which to perform a cutting-edge brain mapping and atlas-based image analysis. In 2014, we introduced an entirely new software platform, MriCloud, which is fully based on cloud architecture with a web- interface (www.mricloud.org). This platform not only integrated all the analysis offered by Dti/MriStudio in a fully automated manner but also provides new types of services that was made possible by the cloud architecture. Within two years, it has more than 1,200 registered users and the monthly processed data reached over 8,000 in April, 2017. There are currently four Software-as-a-Service (SaaS) provided in this platform. In this application, we propose to extend this service to the community through the following aims; Aim 1: Continued user support through update, education, and dissemination Dissemination: Currently, two major channels of dissemination are web-based resources (manuals and videos) and hands-on monthly three-day tutorials. Each tutorial accepts 12 applicants with 5 faculties and two programmers helping the attendees. As the functionalities of DtiStudio/MriStudio/MriCloud expand, the continued and most updated user supports is of the highest importance. Resource update: We continue to update them by incorporating state-of-the-art technologies and new atlas resources. The update of data I/O with ever-changing file formats (DICOM and proprietary) by the four major MRI manufactures remains essential. Aim 2: Extension of the functionality Addition of new services: We continue to work with our collaborators to incorporate further processing pipelines including structure-based lesion-load analysis using FLAIR images, MR spectroscopy, and quantitative susceptibility mapping data. QC report: We will develop and incorporate three levels of check points for quantitative data quality control. Aim 3: Integrative analysis platform: The co-existence of an array of MR image analysis pipelines within the same cloud platform provides a unique opportunity to perform multi-modal integrative analysis. We will develop tools to combine anatomical and physiological features from multiple MR contrasts and characterize unique features of a disease of interest. Aim 4: Bring to bedside: This is an exploratory aim to develop and test our cloud system as a platform for translational research.

该补助金的目的是支持DtiStudio/MriStudio/的持续开发和维护。 MriCloud软件系列，由约翰霍普金斯大学的PI实验室开发。DtiStudio是 在2001年推出，仍然是最广泛使用的程序之一，处理扩散张量成像 (DTI)数据MriStudio，它由MrioMap和RoiEditor组成，于2007年推出，提供了一个独特的 在这个环境中，我们可以进行尖端的大脑映射和基于图谱的图像分析。2014年我们 推出了一个全新的软件平台MriCloud，它完全基于云架构， 接口（www.mricloud.org）。该平台不仅全面集成了Dti/MriStudio提供的所有分析功能， 这不仅是一种自动化的方式，而且还提供了由云架构实现的新型服务。 两年内，注册用户超过1,200人，月处理数据超过8000条 2017年4月目前，该平台提供了四种软件即服务（SaaS）。在这 应用方面，我们建议透过以下目标，把这项服务扩展至社会各界： 目标1：通过更新、教育和传播继续支持用户 传播：目前，两个主要的传播渠道是网络资源（手册和录像） 以及每月三天的实践辅导每个教程接受12名申请人与5个学院和两个 程序员帮助与会者。随着DtiStudio/MriStudio/MriCloud功能的扩展， 最重要的是要不断提供最新的用户支持。 资源更新：我们将继续通过整合最先进的技术和新地图集来更新它们 资源四个主要的数据输入/输出更新与不断变化的文件格式（DICOM和专有） MRI制造商仍然是必不可少的。 目标2：扩展功能 增加新服务：我们继续与合作伙伴合作，以整合进一步的加工管道 包括使用FLAIR图像的基于结构的病变负荷分析、MR波谱分析和定量分析。 磁化率图数据。 QC报告：我们将制定并纳入三个级别的检查点，用于定量数据质量控制。 目标3：综合分析平台：MR图像分析管道阵列在 同一个云平台提供了执行多模态综合分析的独特机会。我们将开发 联合收割机结合多种MR对比的解剖学和生理学特征， 感兴趣的疾病的特征。 目标4：带到床边：这是一个探索性的目标，旨在开发和测试我们的云系统作为一个平台， 翻译研究