Burbridge Brent, Burbridge Connor, Costa John, Carter Yasmin
Department of Medical Imaging, College of Medicine, University of Saskatchewan, Saskatoon, SK Canada.
Medical Imaging, Royal University Hospital, 103 Hospital Drive, Saskatoon, SK S7N 0W8 Canada.
Med Sci Educ. 2019 Jan 3;29(1):11-17. doi: 10.1007/s40670-018-00679-w. eCollection 2019 Mar.
The use of diagnostic radiology images while teaching has been proven to enhance student learning. The incorporation of images in the Digital Imaging and Communications in Medicine (DICOM) format has been hindered by the lack of integrated, DICOM image-compatible, viewing software.
A project was developed to facilitate the migration of clinical diagnostic radiology images, in their native DICOM format into the curriculum at the undergraduate level, including the Medical School, while anonymizing the images and presenting them in a way that simulates a clinical Picture Archive and Communication System (PACS). These images can be directly incorporated into Blackboard Learn or into other applications using embedded URLs.
A teaching file server was deployed using the Medical Imaging Resource Community-Teaching File System (MIRC-TFS) platform. An HTML5, DICOM image viewing server was developed and deployed. Plugins were created to integrate the anonymized images in the MIRC-TFS server with the HTML5 DICOM viewer and Blackboard Learn. The solution was deployed at an undergraduate level.
This project has resulted in the successful development and deployment of a variety of solutions, including an HTML 5 DICOM viewer, that has allowed for the incorporation of anonymized DICOM images from a clinical imaging repository into the undergraduate curriculum.
在教学过程中使用诊断放射学图像已被证明可提高学生的学习效果。由于缺乏集成的、与DICOM图像兼容的查看软件,以医学数字成像和通信(DICOM)格式纳入图像的工作受到了阻碍。
开展了一个项目,以促进将临床诊断放射学图像以其原生DICOM格式纳入本科阶段的课程,包括医学院,同时对图像进行匿名处理,并以模拟临床图像存档与通信系统(PACS)的方式呈现。这些图像可以通过嵌入式URL直接纳入Blackboard Learn或其他应用程序。
使用医学影像资源社区教学文件系统(MIRC-TFS)平台部署了一个教学文件服务器。开发并部署了一个HTML5 DICOM图像查看服务器。创建了插件,以将MIRC-TFS服务器中的匿名图像与HTML5 DICOM查看器和Blackboard Learn集成。该解决方案在本科阶段进行了部署。
该项目成功开发并部署了多种解决方案,包括一个HTML 5 DICOM查看器,它允许将来自临床影像存储库的匿名DICOM图像纳入本科课程。