University of A Coruña, Campus de Elviña, A Coruña, Spain.
University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal.
J Med Syst. 2022 Oct 6;46(11):77. doi: 10.1007/s10916-022-01867-3.
The rapid and continuous growth of data volume and its heterogeneity has become one of the most noticeable trends in healthcare, namely in medical imaging. This evolution led to the deployment of specialized information systems supported by the DICOM standard that enables the interoperability of distinct components, including imaging modalities, repositories, and visualization workstations. However, the complexity of these ecosystems leads to challenging learning curves and makes it time-consuming to mock and apply new ideas. Dicoogle is an extensible medical imaging archive server that emerges as a tool to overcome those challenges. Its extensible architecture allows the fast development of new advanced features or extends existent ones. It is currently a fundamental enabling technology in collaborative and telehealthcare environments, including research projects, screening programs, and teleradiology services. The framework is supported by a Learning Pack that includes a description of the web programmatic interface, a software development kit, documentation, and implementation samples. This article gives an in-depth view of the Dicoogle ecosystem, state-of-the-art contributions, and community impact. It starts by presenting an overview of its architectural concept, highlights some of the most representative research backed up by Dicoogle, some remarks obtained from its use in teaching, and worldwide usage statistics of the software. Finally, the positioning of Dicoogle in the medical imaging software field is discussed through comparison with other well-known solutions.
数据量的快速持续增长及其异质性已成为医疗保健领域（尤其是医学影像领域）最显著的趋势之一。这种演变导致了专门的信息系统的部署，这些系统得到了 DICOM 标准的支持，实现了不同组件（包括成像模式、存储库和可视化工作站）的互操作性。然而，这些生态系统的复杂性导致了具有挑战性的学习曲线，并且耗费时间来模拟和应用新想法。Dicoogle 是一种可扩展的医学影像归档服务器，它是克服这些挑战的工具。它的可扩展架构允许快速开发新的高级功能或扩展现有功能。它目前是协作和远程医疗环境中的一项基本使能技术，包括研究项目、筛查计划和远程放射学服务。该框架得到了一个学习包的支持，其中包括对网络编程接口、软件开发工具包、文档和实现示例的描述。本文深入探讨了 Dicoogle 生态系统、最新的贡献和社区影响。它首先介绍了其架构概念的概述，强调了一些得到 Dicoogle 支持的最具代表性的研究，以及从其在教学中的使用中获得的一些意见，以及该软件的全球使用统计数据。最后，通过与其他知名解决方案的比较，讨论了 Dicoogle 在医学成像软件领域的定位。
