Georgetown University School of Medicine, Washington, DC, USA.
Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA.
J Digit Imaging. 2020 Jun;33(3):792-796. doi: 10.1007/s10278-020-00325-1.
The presentation of radiology exams can be enhanced through the use of dynamic images. Dynamic images differ from static images by the use of animation and are especially useful for depicting real-time activity such as the scrolling or the flow of contrast to enhance pathology. This is generally superior to a collection of static images as a representation of clinical workflow and provides a more robust appreciation of the case in question. Dynamic images can be shared electronically to facilitate teaching, case review, presentation, and sharing of interesting cases to be viewed in detail on a computer or mobile devices for education. The creation of movies or animated images from radiology data has traditionally been challenging based on technological limitations inherent in converting the Digital Imaging and Communications in Medicine (DICOM) standard to other formats or concerns related to the presence of protected health information (PHI). The solution presented here, named Cinebot, allows a simple "one-click" generation of anonymized dynamic movies or animated images within the picture archiving and communication system (PACS) workflow. This approach works across all imaging modalities, including stacked cross-sectional and multi-frame cine formats. Usage statistics over 2 years have shown this method to be well-received and useful throughout our enterprise.
通过使用动态图像可以增强放射学检查的呈现效果。动态图像与静态图像的区别在于使用了动画，对于描绘实时活动（如滚动或对比流动）以增强病理学特别有用。与静态图像的集合相比，这通常更能代表临床工作流程，并能更深入地了解病例。动态图像可以通过电子方式共享，以促进教学、病例回顾、演示以及分享有趣的病例，以便在计算机或移动设备上详细查看，从而实现教育目的。基于将数字成像和通信在医学（DICOM）标准转换为其他格式的固有技术限制，或者与保护健康信息（PHI）相关的问题，从放射学数据创建电影或动画图像一直具有挑战性。这里提出的解决方案名为 Cinebot，允许在影像归档和通信系统（PACS）工作流程中简单地“一键”生成匿名动态电影或动画图像。这种方法适用于所有成像模式，包括堆叠的横截面和多帧电影格式。超过 2 年的使用统计数据表明，这种方法在我们整个企业中都受到欢迎和有用。
