Mantri Manisha, Taran Shruti, Sunder Gaur
IEEE Rev Biomed Eng. 2022;15:247-259. doi: 10.1109/RBME.2020.3042642. Epub 2022 Jan 20.
Medical images support diagnostic care and research in medicine. The acquisition and availability of medical images in digital form can facilitate quick diagnosis, ease of access, continuity of care, analysis and contribute to modern medical research. Digital Imaging and Communications in Medicine (DICOM) is a universal standard that promises standardized representation and exchange of medical images and related information from various radiological and waveform sources. DICOM software development kits or tools or libraries make it easier to implement DICOM standard in healthcare applications. There are several such API libraries available from different providers that promise DICOM integration. In this paper, we explore available DICOM API libraries and conduct a comparative study between a set of selected libraries on the four major criteria (DICOM features, technical aspects, the robustness of the library, and the level of user support available). The aim is to provide a complete picture of options available that can help in finding a best-fit open-source DICOM standard integration API library for developing standardized and interoperable healthcare applications.
医学图像支持医学诊断护理和研究。数字形式的医学图像的获取和可用性有助于快速诊断、方便获取、护理的连续性、分析，并有助于现代医学研究。医学数字成像和通信（DICOM）是一项通用标准，它保证了来自各种放射学和波形源的医学图像及相关信息的标准化表示和交换。DICOM软件开发工具包、工具或库使得在医疗保健应用中更容易实现DICOM标准。有几个不同供应商提供的此类API库，它们都承诺可实现DICOM集成。在本文中，我们探索了可用的DICOM API库，并在一组选定的库之间就四个主要标准（DICOM功能、技术方面、库的稳健性以及可用的用户支持水平）进行了比较研究。目的是全面展示可用选项，这有助于找到最适合的开源DICOM标准集成API库，以开发标准化和可互操作的医疗保健应用程序。
