VISION: Toward a Standardized Process for Radiology Image Management at the National Level
Abstract
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.
Keywords
Cite
@article{arxiv.2404.18842,
title = {VISION: Toward a Standardized Process for Radiology Image Management at the National Level},
author = {Kathryn Knight and Ioana Danciu and Olga Ovchinnikova and Jacob Hinkle and Mayanka Chandra Shekar and Debangshu Mukherjee and Eileen McAllister and Caitlin Rizy and Kelly Cho and Amy C. Justice and Joseph Erdos and Peter Kuzmak and Lauren Costa and Yuk-Lam Ho and Reddy Madipadga and Suzanne Tamang and Ian Goethert},
journal= {arXiv preprint arXiv:2404.18842},
year = {2024}
}