Continued Development and Maintenance of MriStudio

描述（由申请人提供）：本资助的目的是支持约翰霍普金斯大学开发的mri软件的持续开发和维护。MriStudio是磁共振图像处理和分析的综合软件，重点是白质解剖。mri由DtiStudio、DiffeoMap和RoiEditor三个模块组成。DtiStudio于2001年推出，至今仍是处理扩散张量成像（DTI）数据最广泛使用的程序之一。DiffeoMap和RoiEditor于2007年推出，它们提供了一个非常独特的环境来执行尖端的图像转换和基于地图集的自动图像分割。DiffeoMap的特别之处在于，由于我们先进的大脑映射算法是高度CPU和内存密集型的，所以它采用了云架构，用户可以通过云架构访问我们的超级计算资源。目前，已有6500多个注册用途。在这项申请中，我们建议将这项服务扩展到社区，实现以下目标：目标1：通过培训和传播继续为用户提供支持。目前，培训和传播的两个主要渠道是网络资源（手册和视频）和每月2天的手工教程。随着mri功能的扩展，我们将不断更新在线材料和教程。目标2-1：高级扩散MRI分析包：通过与Tournier博士的合作，将实现球谐反卷积算法。目标2-2：自动化和概率示踪：我们将采用基于动态规划的概率示踪方法，并自动化ROI定义过程。目标2-3：质量控制报告：我们将部署一个全面和定量的质量控制报告系统，这对大规模研究的自动化分析非常重要。目标3：采用基于web的界面进行跨平台扩展。我们将开发基于web的云计算服务，消除对平台的依赖。目标4：完成基于XNAT的解决方案，我们将开发一个基于服务器的自动分析管道，该管道连接到一个名为XNAT的研究图像数据库系统。Aim 5：基于多地图集的大脑分割算法的部署，我们将在我们的服务器上部署我们的多地图集技术，并通过云计算系统提供给用户测试。

DESCRIPTION (provided by applicant): The purpose of this grant is to support continued development and maintenance of MriStudio software developed in Johns Hopkins University. MriStudio is comprehensive software for MR image processing and analysis with emphasis on white matter anatomy. MriStudio consists of three modules, DtiStudio, DiffeoMap, and RoiEditor. DtiStudio was introduced in 2001 and remains one of the most widely used programs to process diffusion tensor imaging (DTI) data. DiffeoMap and RoiEditor were introduced in 2007, which provides a very unique environment to perform a cutting-edge image transformation and atlas-based automated image segmentation. What is especially unique about DiffeoMap is, because our advanced brain mapping algorithms are highly CPU and memory intensive, it adopts Cloud-type architecture, through which users can have access to our supercomputation resource. Currently, there are more than 6,500 registered uses. In this application, we propose to extend this service to the community through the following aims; Aim 1: Continued user support through training and dissemination Currently, two major channels of training and dissemination are through web-based resources (manuals and videos) and hand-on monthly 2-day tutorials. As the functionalities of MriStudio expand, we will continuously update the online materials and tutorials. Aim 2: Extension of the functionality Aim 2-1: Advanced diffusion MRI analysis package: Through the collaboration with Dr. Tournier, spherical harmonic decomvolution algorithm will be implemented. Aim 2-2: Automated and probabilistic tractography: We will incorporate a probabilistic tractography method based on dynamic programing and automate the ROI definition process. Aim 2-3: Quality control reporting: We will deploy a comprehensive and quantitative quality control reporting system, which is extremely important for automated analysis of large-scale studies. Aim 3: Cross-platform extension by adopting web-based interface. We will develop web-based Cloud computation service, which will eliminate the platform-dependence. Aim 4: Completion of XNAT-based solution, we will develop a server-based automated analysis pipeline that is linked to a research image database system, called XNAT. Aim 5: Deployment of multi-atlas-based brain segmentation algorithm, we will deploy our multi-atlas technology in our server and make them available for testing to users through the Cloud computation system.