Moore Eider B, Poliakov Andrew V, Lincoln Peter, Brinkley James F
Structural Informatics Group, Department of Biological Structure, University of Washington, Seattle, USA.
BMC Bioinformatics. 2007 Oct 15;8:389. doi: 10.1186/1471-2105-8-389.
Three-dimensional (3-D) visualization of multimodality neuroimaging data provides a powerful technique for viewing the relationship between structure and function. A number of applications are available that include some aspect of 3-D visualization, including both free and commercial products. These applications range from highly specific programs for a single modality, to general purpose toolkits that include many image processing functions in addition to visualization. However, few if any of these combine both stand-alone and remote multi-modality visualization in an open source, portable and extensible tool that is easy to install and use, yet can be included as a component of a larger information system.
We have developed a new open source multimodality 3-D visualization application, called MindSeer, that has these features: integrated and interactive 3-D volume and surface visualization, Java and Java3D for true cross-platform portability, one-click installation and startup, integrated data management to help organize large studies, extensibility through plugins, transparent remote visualization, and the ability to be integrated into larger information management systems. We describe the design and implementation of the system, as well as several case studies that demonstrate its utility. These case studies are available as tutorials or demos on the associated website: http://sig.biostr.washington.edu/projects/MindSeer.
MindSeer provides a powerful visualization tool for multimodality neuroimaging data. Its architecture and unique features also allow it to be extended into other visualization domains within biomedicine.
多模态神经影像数据的三维(3-D)可视化提供了一种强大的技术,用于观察结构与功能之间的关系。有许多应用程序可供使用,其中包括3-D可视化的某些方面,包括免费和商业产品。这些应用程序范围从针对单一模态的高度特定程序,到除可视化之外还包括许多图像处理功能的通用工具包。然而,这些应用程序中很少有(如果有的话)能在一个易于安装和使用、可作为更大信息系统的组件的开源、便携式且可扩展的工具中,将独立和远程多模态可视化结合起来。
我们开发了一个名为MindSeer的新的开源多模态3-D可视化应用程序,它具有以下特点:集成且交互式的3-D体数据和表面可视化、用于真正跨平台可移植性的Java和Java3D、一键安装和启动、集成数据管理以帮助组织大型研究、通过插件实现可扩展性、透明的远程可视化以及能够集成到更大的信息管理系统中。我们描述了该系统的设计和实现,以及几个展示其效用的案例研究。这些案例研究可在相关网站http://sig.biostr.washington.edu/projects/MindSeer上作为教程或演示获取。
MindSeer为多模态神经影像数据提供了一个强大的可视化工具。其架构和独特功能还使其能够扩展到生物医学的其他可视化领域。