Centre for Advanced Imaging, The University of Queensland , Brisbane, QLD , Australia.
Front Neurol. 2013 Jul 4;4:85. doi: 10.3389/fneur.2013.00085. eCollection 2013.
Digital Imaging Processing (DIP) requires data extraction and output from a visualization tool to be consistent. Data handling and transmission between the server and a user is a systematic process in service interpretation. The use of integrated medical services for management and viewing of imaging data in combination with a mobile visualization tool can be greatly facilitated by data analysis and interpretation. This paper presents an integrated mobile application and DIP service, called M-DIP. The objective of the system is to (1) automate the direct data tiling, conversion, pre-tiling of brain images from Medical Imaging NetCDF (MINC), Neuroimaging Informatics Technology Initiative (NIFTI) to RAW formats; (2) speed up querying of imaging measurement; and (3) display high-level of images with three dimensions in real world coordinates. In addition, M-DIP provides the ability to work on a mobile or tablet device without any software installation using web-based protocols. M-DIP implements three levels of architecture with a relational middle-layer database, a stand-alone DIP server, and a mobile application logic middle level realizing user interpretation for direct querying and communication. This imaging software has the ability to display biological imaging data at multiple zoom levels and to increase its quality to meet users' expectations. Interpretation of bioimaging data is facilitated by an interface analogous to online mapping services using real world coordinate browsing. This allows mobile devices to display multiple datasets simultaneously from a remote site. M-DIP can be used as a measurement repository that can be accessed by any network environment, such as a portable mobile or tablet device. In addition, this system and combination with mobile applications are establishing a virtualization tool in the neuroinformatics field to speed interpretation services.
数字图像处理 (DIP) 需要从可视化工具中提取和输出一致的数据。服务器和用户之间的数据处理和传输是服务解释中的一个系统过程。通过数据分析和解释,可以极大地促进集成医疗服务对成像数据的管理和查看,以及与移动可视化工具的结合。本文提出了一种集成的移动应用程序和 DIP 服务,称为 M-DIP。该系统的目标是:(1)自动对来自 Medical Imaging NetCDF (MINC)、Neuroimaging Informatics Technology Initiative (NIFTI)的脑图像进行直接数据平铺、转换、预平铺到 RAW 格式;(2)加快成像测量的查询速度;(3)以真实世界坐标的三维形式显示高级别的图像。此外,M-DIP 提供了一种无需任何软件安装即可在移动或平板电脑设备上使用基于网络协议的工作能力。M-DIP 实现了三层架构,具有关系型中间层数据库、独立的 DIP 服务器和移动应用程序逻辑中间层,实现了用户的直接查询和通信解释功能。该成像软件具有在多个缩放级别显示生物成像数据的能力,并可以提高其质量以满足用户的期望。通过使用类似于在线地图服务的界面进行生物成像数据的解释,使得用户能够浏览真实世界坐标。这允许移动设备从远程站点同时显示多个数据集。M-DIP 可以作为一个测量库,任何网络环境(如便携式移动或平板电脑设备)都可以访问。此外,该系统与移动应用程序的结合正在神经信息学领域建立一个虚拟化工具,以加速解释服务。