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.

这笔赠款的目的是支持 DtiStudio/MriStudio/ 的持续开发和维护 MriCloud 软件系列是由约翰霍普金斯大学 DtiStudio 的 PI 实验室开发的。 于 2001 年推出，至今仍然是处理扩散张量成像最广泛使用的程序之一 (DTI) 数据，由 DiffeoMap 和 RoiEditor 组成，于 2007 年推出，提供了独特的数据。 2014 年，我们在其中进行尖端的大脑绘图和基于图谱的图像分析。 推出了全新的软件平台MriCloud，该平台完全基于云架构，具有Web- 该平台不仅集成了 Dti/MriStudio 提供的所有分析功能。 自动化的方式，还提供了云架构使之成为可能的新型服务。 两年内注册用户超过1200人，月处理数据量超过8000条 2017 年 4 月。该平台目前提供四种软件即服务 (SaaS)。 申请后，我们建议通过以下目标将这项服务扩展到社区； 目标 1：通过更新、教育和传播持续提供用户支持 传播：目前两大传播渠道是网络资源（手册和视频） 以及每月为期三天的实践教程，每个教程接受 5 名教师和 2 名 12 名申请者。 程序员帮助与会者。随着 DtiStudio/MriStudio/MriCloud 功能的扩展， 持续且最新的用户支持至关重要。 资源更新：我们通过结合最先进的技术和新的图集不断更新它们 四大资源不断变化的文件格式（DICOM 和专有）的数据 I/O 更新。 MRI 制造商仍然至关重要。 目标 2：功能扩展 增加新服务：我们继续与合作者合作，整合进一步的加工管道 包括使用 FLAIR 图像、MR 光谱和定量分析进行基于结构的病变负荷分析 磁敏感图数据。 QC报告：我们将开发并纳入三个级别的检查点以进行定量数据质量控制。 目标 3：综合分析平台：一系列 MR 图像分析管道在系统内共存 同一云平台提供了执行多模式综合分析的独特机会。 结合多种 MR 对比的解剖学和生理学特征并表征独特的工具 感兴趣的疾病的特征。 目标 4：带到临床：这是一个探索性目标，旨在开发和测试我们的云系统作为平台 转化研究。