KNOWLEDGE SHARING FRAMEWORK FOR MEDICAL IMAGING RESEARCH

这是通信史上史无前例的时代。电子学 万维网等资源形成了一个共同的基础，在此基础上，不同的 学科可以在以前闻所未闻的方式交换数字数据和知识 费率。或许巧合的是，目前迫切需要一种 医学成像研究社区中的基础设施，其中图像数据和 更重要的是，关于这些数据的知识可以共享。当务之急 因为这样一个系统源于这样一个事实，即一个更好的新的评估系统 图像处理方法和新的成像设备是跟上时代的需要 日新月异的科技。知识框架的终极用途 然而，分享仅仅取决于用户的独创性。总目标 第一阶段和第二阶段是将基于Web的知识共享的原型 框架就位。该框架是基于XML和RDF标准设计的 在从数字图书馆到电子产品的各种社区中获得势头 商业。该框架的主要特点是(1)它的搜索能力高 所需图像数据的准确性，(2)自动处理数据的能力 (例如，数据集的联合注册)，以及(3)其链接辅助 地图集、文献数据库和NIH正在开发的E-BioMed等资源 系统。 建议的商业应用：不可用

This is an unprecedented time in the history of communications. Electronic resources such as the World Wide Web form a common ground upon which diverse disciplines can exchange digital data and knowledge at previously unheard of rates. Coincidently perhaps, there is a critical need at this time for an infrastructure in the medical imaging research community where image data and, more importantly, knowledge about that data can be shared. The immediate needs for such a system stem from the fact that a better system for evaluation of new image processing methods and new imaging devices is necessary to keep pace with the rapidly advancing technology. The ultimate use of a framework for knowledge sharing, however, rests only on the ingenuity of its users. The overall goal for Phases I and II is to put a prototype Web-based, knowledge sharing framework into place. The framework is designed upon the XML and RDF standards gaining momentum in communities ranging from digital libraries to electronic commerce. Key features of the framework are (1) its ability to search with high accuracy for desired image data, (2) its ability to automatically process data (e.g., co-registration of datasets), and (3) its ability to link ancillary resources such as atlases, literature databases, and NIH's developing E-biomed system. PROPOSED COMMERCIAL APPLICATION: NOT AVAILABLE