The compilation and analysis of radiological images poses numerous challenges for researchers. The sheer volume of data as well as the computational needs of algorithms capable of operating on images are extensive. Additionally, the assembly of these images alone is difficult, as these exams may differ widely in terms of clinical context, structured annotation available for model training, modality, and patient identifiers. In this paper, we describe our experiences and challenges in establishing a trusted collection of radiology images linked to the United States Department of Veterans Affairs (VA) electronic health record database. We also discuss implications in making this repository research-ready for medical investigators. Key insights include uncovering the specific procedures required for transferring images from a clinical to a research-ready environment, as well as roadblocks and bottlenecks in this process that may hinder future efforts at automation.

描述了建立与美国退伍军人事务部电子健康记录数据库相关联的受信任的放射学图像收集的经验和困难，包括在将图像从临床环境转移到研究就绪环境所需的特定程序以及可能阻碍自动化的问题和瓶颈。

VISION: 国家级标准化放射影像管理流程